HighlightsLightweight, compact chassis ensures superb manoeuvrability even in the tightest of spacesCollapsible column for a clear view aheadQuiet power assist drive delivers less disruption in the quietest environmentsMultiple tube/collimator controls for fast, easy operationLarge 19” touchscreen monitor with friendly icons for enhanced post processingUp to four hours use on a single…
Philips is an active participant in the new European Federation for Cancer Images consortium (EUCAIM) – a project launched in the run-up to World Cancer Day 2023.
HighlightsThe AI-Rad Companion, is a family of AI-powered workflow solutions, available as cloud or hybrid deployments. It supports you in your diagnostic tasks and may increase your diagnostic precision when interpreting medical images.Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms. The automation of routine workflows with repetitive tasks…
HighlightsUnique BioMatrix Technology automatically adjusts to patient biovariabilityBoost productivity with Turbo Suite, Simultaneous Multi-Slice, and Deep ResolveIncreased patient access to advanced MRI exams with free-breathing examsGO technologies powered by artificial intelligence boost patient throughputSave energy consumption with Eco-PowerIncreased consistency and workflow acceleration…
HighlightsREiLI uses open APIs to support extensive Fujifilm and third-party algorithms along with an advanced rules engine to bring your preferred algorithms directly within Synapse PACS workflow. The platform can also manage multiple algorithms for a single procedure, prioritize and flag results in the Synapse PACS worklist, and store radiologist feedback on the AI results to continuously…
HighlightsAdvanced intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPURE ViSION Optics imaging chain0.35 s rotation16 cm coverage640 slices/rotation0.17 mm spatial resolutionSURE Position patient centringLateral table movement300 kg patient tableSuper resolution cardiac imaging (PIQE)Spectral imaging with zero temporal offsetIsophasic organ perfusionCT…
HighlightsAdvanced Intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREViSION Optics imaging chain2048 matrix reconstruction 0.1 mm spatial resolution6 focal spot tube0.35 s rotationUp to 320 slices/rotationSUREPosition patient centringLateral table movement300 kg patient tableSEMAR (Metal Artefact Reduction)
HighlightsMulti-disciplinary Premium platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesAdvanced application with fusion imaging to support procedure guidance and treatment evaluationUseful tools to help diagnose breast cancerSeamless workflow: Protocol…
Highlights Advanced Intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREVISION low dose detector0.25 mm spatial resolution0.5 s rotation4 cm coverageUp to 160 slices / rotationSUREPosition patient centringLateral table movement300 kg patient tableSEMAR (Metal Artefact Reduction)vHP, variable helical parametersIterative 3D Fluoro
HighlightsAdvanced Intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREViSION Optics imaging chain0.23 mm spatial resolution0.35 s rotation4 cm coverageUp to 160 slices / rotationSUREPosition patient centringLateral table movement300 kg patient tableSEMAR (Metal Artefact Reduction)Iterative 3D FluoroLow dose cardiac scanning
HighlightsAdvanced intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREViSION Optics imaging chain0.35 s rotation16 cm coverage640 slices/rotation0.17 mm spatial resolutionSUREPosition patient centringLateral table movement300 kg patient tableSEMAR (Metal Artefact Reduction)Wide range of Cardiac and Dual Energy applicationsIsophasic organ perfusion
HighlightsAdvanced Intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processing PUREVision Optics imaging chain0.275 s rotation16 cm coverage640 slices/rotation0.17 mm spatial resolutionSUREPosition patient centringLateral table movement 300 kg patient tableSuper resolution cardiac imaging (PIQE)Spectral imaging with zero temporal offsetIsophasic organ…
HighlightsAdvanced intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREViSION low dose detector0.5 s rotation2 cm coverageUp to 32 slices / rotationSUREPosition patient centring300 kg patient tableSEMAR (Metal Artefact Reduction)vHP, variable helical parametersSUREStart iterative bolus trackingIterative 3D Fluoro
HighlightsAdvanced intelligent Clear-IQ Engine (AiCE)Artificial intelligence in scanning and processingPUREViSION Optics imaging chain0.275 s rotation16 cm coverage640 slices/rotation0.17 mm spatial resolutionSUREPosition patient centringLateral table movement300 kg patient tableSEMAR (Metal Artefact Reduction)Wide range of Cardiac and Dual Energy applicationsIsophasic organ perfusion
HighlightsiQ-VIEW is the vendor neutral easy-to-use multimodality reading station that has been designed by radiologists for imaging specialists. A unique previous study management using artificial intelligence accelerates the diagnostic process by automatically presenting relevant previous studies of any modalities. iQ-VIEW PRO automatically merges different patient identities from any PACS.
HighlightsAIDR 3D Enhanced iterative reconstruction Artificial intelligence in scanning and processing PUREViSION low dose detector 0.75 s rotation 1.6 cm coverage Up to 32 slices/rotation 220 kg patient table SEMAR (Metal Artefact Reduction) vHP, variable helical parameters SUREStart iterative bolus tracking SURESubtraction for superb iodine…
HighlightsScreenPoint Medical is the leading developer of AI driven image analysis technology for automated reading of 2D and 3D mammograms. Transpara is in clinical use in over 30 countries and is the most advanced commercially available multivendor AI solution (CE marked and FDA cleared for 2D and 3D). Find us at ECR 2022 or visit https://www.screenpoint-medical.com
HighlightsCompact AI-powered diagnostic platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesUseful tools to help diagnose breast cancerSeamless workflow: Protocol assistant, Auto Measurements
Highlights Ultralight, compact, battery-powered, and portable digital X ray machineAt 3.5 kg, FDR Xair provides a portable solution and a high-mobility workflow even in unconventional medical scenesBuilt-in lithium polymer battery provides up to 100+ images on a single charge*Quick start and user-friendly simple button layout for ease of useFlat-surface design provides easy cleaning and…
HighlightsGenius AI Detection technology using deep learning algorithm to help find more cancers in both Hologic tomo images.¹ Integrated on the acquisition workstation, offers real-time results at the POC offering unique workflow opportunities that can be used to prioritise high risk cases and shorten the patient journey. It supports also the 3DQuorum and Synthesised 2D images and will…
HighlightsRubee for AI, as part of your Enterprise Imaging platform, offers a seamless AI experience for your clinicians. Carefully curated ‘packages’ embed best-of-class AI apps that work seamlessly to support your real clinical workflow from start to finish. With Rubee for AI, you get more out of your AI investments, while enriching the value of your Enterprise Imaging. It’s a…
HighlightsThe highest resolution 3D imaging, now with a faster read time. 3DQuorum technology utilises Genius AI-powered analytics to uniquely reconstruct high-resolution 3D Mammography data to produce 6mm SmartSlices. These speed up reading time by reducing the number of images to review, with no compromise in image quality, sensitivity or accuracy.2, 3 Accelerate detection with our newest…
Highlights BoneView is your AI Companion for bone trauma X-rays: it detects fractures, effusions, dislocations and bone lesions. It aims to increase diagnostic performances by reducing missed fractures while improving reading time. ChestView is your AI Companion for Chest X-rays : it detects pneumothorax, pleural effusions, alveolar patterns, lung nodules, mediastinal/hilar masses, and helps…
Highlights Fujifilm expands AI CAD software integration across its portfolio.1An integrated operating environment to install AI-CAD software with Fujifilm modalitiesProvides access to the latest Artificial Intelligence-Computed Aided Diagnosis (AI-CAD) technologies that support diagnostic imaging with deep learning at point of image acquisition.AI-CAD solutions supported include Lunit…
Highlights Automation Platform is an AI-based, zero-click solution that uses Deep Learning technology to streamline your workflow for fast, actionable results every time. AUTOStroke solution automatically analyzes images to fully characterize stroke conditions and integrates a comprehensive set of stroke applications:Non-contrast CT Intracranial Hemorrhage CT Perfusion mapsCT Large…
HighlightsThe power of AI is brought to routine and spectral CT imaging by Canon Medical’s Deep Learning Reconstruction technologies: Advanced intelligent Clear-IQ Engine (AiCE) and Spectral Reconstruction. AiCE is a fully integrated DLR technology for noise free CT images while PIQE reconstructs cardiac scan in super resolution. AI in Spectral Reconstruction results in a zero temporal…
Highlights70 cm FOV 90 cm extended FOV Advanced Intelligent Clear-IQ Engine (AiCE) Artificial intelligence in scanning and processing 0.4 s rotation 4 cm coverage 160 slices/rotation Dual Energy applications SUREPosition patient centring CT Fluoroscopy Lateral table movement 300 kg patient table SEMAR (Metal Artefact…
HighlightsNew AI-powered diagnostic multi-disciplinary platform, ergonomic designDeepInsight technology: proprietary Artificial Intelligence deep learning know-howWide range of transducers for all applicationsComprehensive diagnoses of hepatic diseasesAdvanced application with fusion imaging to support procedure guidance and treatment evaluationUseful tools to help diagnose breast cancerSeamless…
HighlightsScreenPoint Medical is the leading developer of AI driven image analysis technology for automated reading of 2D and 3D mammograms. Transpara is in clinical use in over 30 countries and is the most advanced commercially available multivendor AI solution (CE marked and FDA cleared for 2D and 3D). Find us at ECR 2022 or visit https://www.screenpoint-medical.com
Highlights The most innovative, advanced and high quality miniaturized ultrasound system ever designed by Mindray. ME is the first laptop ultrasound system powered by ZST+ platform. Its AI empowered analysis smart tools such as smart cardiopulmonary assessment solution, help to quickly assess patient heamodynamic and respiratory status under critical care environment. Stay unplugged all day with…
HighlightsThe power of AI is brought to routine MR imaging by Canon Medical’s deep learning reconstruction technology: Advanced intelligent Clear-IQ Engine (AiCE). AiCE is the world’s first fully integrated DLR technology for MRI and produces exceptionally detailed MR images. AiCE intelligently removes the noise from the images, which results in higher SNR enabling increased…
Italian imaging company Esaote premiered its latest premium ultrasound system, MyLab X90, which uses AI for workflow optimization and enhanced connectivity.
Medical imaging company Carestream Health has expanded its portfolio with 20 new patents for global advances in AI, image quality, digital radiography (DR) detectors and mobile imaging.
The distinction between primary tumors and metastases can be made quickly and accurately in brain tumors using radiomics and deep learning algorithms, a new study shows.
Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study published in Radiology.
Transforming a regional digital pathology network into a national programme across the UK has the potential to save the NHS around £100m a year. Such a network – one that sees a centralised digital pathology image library and archive, as opposed to individual hospitals having their own infrastructure and teams to manage it – can also offer a range of other benefits alongside significant cost…
Researchers have now found that artificial intelligence (AI) can improve the effectiveness of colonoscopy in the presence of Lynch syndrome.
New advanced therapies can alleviate or cure chronic diseases. But medical progress, such as the gene editing tool CRISPR, raises the question of how rights should be protected and balanced.
New research shows the power of artificial intelligence (AI) applied to endometrial carcinoma microscopy images. This could improve diagnosis and treatment of uterine cancer.
AI-based models for multimodality hybrid imaging have the potential to be a potent clinical tool but are currently held back by a lack of transparency and maturity, says Dr Irène Buvat, from the Laboratory of translational Imaging in Oncology, Institute Curie in Paris, France. During a webinar of the European Society of Radiology, the expert provided a roundup on the benefits and current…
Scientists are developing artificial intelligence (AI) and talking robots to help to detect urinary tract infections (UTIs) in vulnerable people early.
Tapping the thriving Radiology AI ecosystem, Bayer recently announced three collaboration agreements for its digital platform, Calantic Digital Solutions, as well as an AI accelerator program.
Radiographers could help design new artificial intelligence (AI) tools for radiation protection, Mark McEntee, professor of diagnostic radiography at University College Cork, Ireland, argued during the annual EuSoMII meeting in October.
In radiology, it is not about if but about when artificial intelligence (AI) will be used, said Professor Dr Tim Leiner of Utrecht University Medical Center at this year’s European Congress of Radiology in Vienna. For all those who are new to AI, the Dutch radiologist gave an overview of the lessons he and his team have learnt so far.
In surgery, artificial intelligence (AI) is applied mostly in imaging, navigation, and robotic intervention. However, AI can also play a major role in preoperative planning. Objective decisions-making, optimal utilisation of operating theatres and less overtime are additional advantages that are achieved with the use of AI in surgery.
Medical imaging is critical across many fields of healthcare – but accessing it in remote or rural locations can be a struggle, resulting in missed appointments or delayed diagnoses. Fujifilm Healthcare Europe is a leading provider of medical imaging solutions across all modalities, and offers a range of portable imaging systems that allow imaging solutions to be taken closer to the patient.
This summer, The European Commission launched I3lung, a new research initiative as a part of Horizon Europe, the EU’s research and innovation program. This research initiative aims to create a cutting-edge, decision-making tool to help clinicians and patients select the best lung cancer treatment based on each patient’s specific needs and circumstances.
Endosonography poses unique challenges for medical professionals, because two demanding disciplines have to be mastered at the same time. The use of artificial intelligence (AI) could help speed up the notoriously slow learning curve of the procedure, says Prof Dr Christoph F. Dietrich. At the Visceral Medicine Congress in Hamburg, the expert explained how AI can help endosonography achieve…
Sepsis, a life-threatening, systemic, toxic bodily reaction to infection, is often difficult to detect in its early stages. Its symptoms, including fever, shortness of breath, rapid heart rate, and confusion, are associated with many medical conditions of hospitalized patients. But if not treated rapidly, a patient may die. The Targeted Real-time Early Warning System (TREWS) for sepsis detection…
Eye4Care is a frontline healthcare staff support service, based on a proprietary platform, which enables real-time audio/video connection between healthcare specialists and the staff treating patients.
To assess diffuse liver disease, MRI is currently the modality of choice. New developments in artificial intelligence (AI) could tip the scales in favour of CT imaging. At ECR 2022 in July, experts showed how AI technology enables CT to quantify liver fat as exquisitely as MRI.
Artificial intelligence (AI) is increasing its foothold in endoscopy. Although the algorithms often detect pathologies faster than humans, their use also generates new problems. PD Dr Alexander Hann attests to the great potential of AI helpers. However, the deputy head of gastroenterology at the University Hospital Würzburg points out that their use can affect not only the reporting of findings…
Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.
Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…
Many consider our eyes to be the windows to the soul. Yet the cornea, the panes of these windows, sometimes need significant repair. Friso Heslinga, PhD, created artificial intelligence models to support surgeons in one of the oldest and most common transplantation procedures.
At this year's Medica (Nov 14-17), the Health IT Forum offers a special focus on how health IT can contribute to more sustainability in healthcare, and on optimising treatment workflows.
In the future, many types of open surgeries will be replaced with minimally invasive interventions, predicts Kevin Cleary, PhD, engineering lead at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Hospital, and Professor of Pediatrics and Radiology at George Washington University, both in Washington, D.C. Surgeons and interventional radiologists will be able…
It’s widely known that more than 70% of today’s medical decisions involve the results of laboratory tests, but the insights clinicians derive from these tests today may only be scratching the surface of their potential.
Bayer recently announced the launch of Calantic Digital Solutions, a new platform delivering access to digital applications, including artificial intelligence (AI) enabled programs for medical imaging.
Ethical considerations continue to fuel the discussion around artificial intelligence (AI), a panel of experts showed at ECR 2022.
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.
New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.
Artificial intelligence (AI) can be used to detect COVID-19 infection in people’s voices by means of a mobile phone app, according to research to be presented at the European Respiratory Society International Congress.
Cardisiography is a screening method for detecting structural, rhythmical, or vascular heart disease and a decision support tool to guide targeted follow-up. Meik Baumeister, CEO of Cardisio, talks about the development and the operating principle.
It might sound like science fiction but it is reality in cardiology: with the help of artificial intelligence (AI) physicians can recognize from a patient’s headshot whether the person is suffering from coronary artery disease and is therefore at risk of myocardial infarction. But is that knowledge really useful? Professor Dr David Duncker calls for a differentiated and careful assessment of…
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
A device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world: Parkinson's.
A team from Geneva has discovered a molecule that can identify the development of diabetes before the first symptoms appear.
At ECR, companies routinely present their latest diagnostic solutions to the audience, and Hologic is no different. However, at this year’s congress, the manufacturer went beyond just showcasing new systems for women’s health. Additional focus topics were the mitigation of the pandemic impact on screening programmes and the situation of women around the world without access to advanced…
Striving to improve the patient’s quality of life after laryngectomy, researchers conducted a study, during which they searched for pathologies in patients’ voices using artificial intelligence (AI).
Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.
Cardiomyopathy is not a uniform disease. Rather, individual genetic defects lead to heart failure in different ways, an international consortium reports.
Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.
Fujifilm partners with Gleamer to integrate an AI software called BoneView into its X-ray imaging systems to assist radiologists and emergency clinicians in the diagnosis of skeletal fractures.
Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
After two online meetings and a teaser last March, the European Congress of Radiology (ECR) is coming home to Austria in July 13-17. We spoke with congress president Regina Beets-Tan about how radiologists must build bridges to go forward.
Using deep learning, researchers created AI-driven computer models to analyze corneal and retinal images to help eye doctors in the future.
Physicians use AI-powered technology for faster and earlier detection of diseases. At ECR Overture, Dr Steven Schalekamp, PhD, discussed the application of AI for chest radiography in paediatrics.
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
Incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
Artificial intelligence can help diagnose acute heart failure with more accuracy than current blood tests alone, research suggests.
An artificial intelligence (AI) model combining four methods of machine learning (ML) to accurately detect thyroid cancer from routine ultrasound image data has been developed by US researchers.
A new AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Colonoscopies performed with AI support may yield an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27% in average-risk patients, according to new data.
Clear ethical standards and guidance are needed for AI in health settings to protect the relationship of trust between doctors and patients and to safeguard human rights, according to a new report.
Medical imaging and radiotherapy treatment devices are essential lifesaving technologies. In an era when hospital information systems are increasingly being attacked by cybercriminals, just how protected and safe is this equipment?
This overview introduces connected and continuous glucose sensing technologies, smart insulin delivery systems and more innovations that help patients and doctors monitor and manage glucose levels and guide decision-making in diabetes care.
Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.
The path from evidence-based research to clinical implementation is straightforward in theory but taxing in practice: Research groups must be coordinated, relevant published material identified, classified, and prepared, to shape findings into a comprehensive SOP for clinical use. To facilitate this complex process, Wolters Kluwer developed a new suite of applications, called Ovid Synthesis.
A combination of digital pathology and quantitative biomarker analysis in the emerging concept of ‘smart’ cytology has a potential role in the detection and diagnosis of cancer.
Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care.
Reaching out across 15 hospitals and a population of six million people, a network established by the National Pathology Imaging Co-operative (NPIC) is an ambitious move to advance digital pathology in the North of England.
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
Researchers from Charité – Universitätsmedizin Berlin have shown that massive electrochemical waves in the brain act as a marker announcing an impending ischemic stroke.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
Big data is transforming diagnosis and medical care, but the critical challenge remains over how to equally apply the benefits it delivers across real-world clinical settings, according to industry expert Prof Benoît Macq.
A major new study shows that artificial intelligence (AI) is a promising tool for breast cancer detection in screening mammography programs.
Scientists have utilized the integration of lightweight material engineering and artificial intelligence to create an exoskeleton robot that can aid those with mobility impairments.
To provide a solution for the challenges of the coronavirus pandemic, Beckman Coulter recently launched the DxU Iris, a urinalysis solution which aims to improve lab workflows.
Synthetic correlated diffusion makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
A software based on deep learning with convolutional neural networks can accurately and consistently classify breast density on mammograms according to BI-RADS criteria.
A new type of AI companion is being designed to aid memory recollection, boost confidence and combat depression in people living with Alzheimer’s disease and other types of dementia.
Chromatograms from mass spectrometry feature characteristic peaks to signify the response of a target molecule. Artificial intelligence can help in the challenging task of identifying these peaks.
By employing artificial intelligence (AI) and robotics to formulate therapeutic proteins, researchers promoted tissue regeneration.
Combining questions about a person's health with data from smartwatch sensors, a new app can predict within minutes whether someone is infected with COVID-19.
Groundbreaking technologies have improved our ability to accurately diagnose breast cancer and reduce callbacks, focusing on compassionate care for patients as they move along their breast health journey.
Fujifilm aims to become an entity that can contribute to the advancement of human health by supporting the ongoing transformation in the healthcare industry – as a “One-Stop” solution partner.
The future of pathology is digital – for many departments, transformation requires major modifications but promises significant advantages. Professor Catarina Eloy outlines the vital elements.
Close liaison between pathologists and data scientists is pivotal in the successful introduction of digital pathology and artificial intelligence (AI) into clinical workflows, according to one of France’s leading pioneers in the field.
GenesisCare announced the establishment of the Accuray CyberKnife S7 robotic accelerator that delivers radiosurgery treatment guided by AI and synchronized with real-time imaging.
The tool has made it possible to detect SARS-CoV-2 in exudate from symptomatic patients with a sensitivity of 100% and a specificity of 87.5%
Professor Dr Henning Windhagen is a great fan of semi-automatic systems that help with implants but leave the surgeon in the driver’s seat.
Researchers have identified a previously unrecognized key player in cancer evolution: clusters of mutations occurring at certain regions of the genome.
A mobile application assists in recording skin lesions and sends them to dermatology departments in hospitals, speeding up diagnosis of skin cancer.
Under the roof of integrated diagnostics, radiology, laboratory medicine and pathology are forming a powerful alliance. Hedvig Hricak, MD, PhD, explains the potential for cancer patients and details the role of radiologists within the construct.
Dr Jan Stallkamp, Professor for Automation in Healthcare and Biotechnology, has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
Researchers used artificial intelligence to identify sets of genes that predict whether a patient will acquire severe sepsis.
Does artificial intelligence (AI) need more diversity? This aspect is brought up by experts in the context of AI systems to diagnose skin cancer. Their concern: images used to train such programs do not include data on a wide range of skin colours, leading to inferior results when diagnosing non-white patients.
Interventional cardiology is entering a new era with the wider introduction of robotic procedures which bring significant benefits to the medical team and the patient. Two experts outlined the benefits at the ESC 2021 Digital Summit.
The team at the Institute of Medical Device Technology at the University of Stuttgart, Germany, is developing methods to produce top-quality medical devices at affordable prices. Professor Dr Peter Pott, the director of the institute, turns to 3D printers to successfully realize his vision of “high end at low cost”.
Every day, elderly people fall – be it at home or in care facilities. Med-tech start-up Lindera developed an app that allows motion analysis via a smartphone camera to minimize the risk of falling.
A new study has found that AI can help physicians in interpreting x-rays after an injury and suspected fracture. This has the potential to improve diagnostic performance and efficiency.
A new pilot study suggests that machine learning algorithms which fuse electrocardiogram (ECG) and electronic health record data may help doctors screen for dangerous, lung-clogging blot clots.
Researchers in the UK and China have developed an AI model that can diagnose Covid-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.
Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks.
A novel artificial intelligence score provides a more accurate forecast of the likelihood of patients with suspected or known coronary artery disease dying within 10 years than established scores used by health professionals worldwide. The research was presented at EuroEcho 2021, a scientific congress of the European Society of Cardiology (ESC).
Artificial intelligence (AI) is changing our healthcare systems. It can help us detect diseases earlier, improve patient care and reduce healthcare costs. However, there is still a lack of trust, of rules and safety regulations and of broad data pools. How can we use AI successfully in healthcare systems and what role will it play in the future?
The Zybio EXS2600 mass spectrometry system enables rapid microbial identification, including bacteria and fungi. With an advanced pre-filled sample kit, user-friendly software and a comprehensive strain database, the EXS2600 offers high-throughput screening, convenient operation and accurate results.
AI-designed Xenobots reveal an entirely new form of biological self-replication—promising for regenerative medicine.
Wearables are a trend in respiratory care and many products are being developed to monitor patients remotely. But how much can these tools really help clinicians? An Italian expert discussed current solutions and challenges to their development.
A stethoscope is one of a doctor's most important instruments, but there haven't been any fundamental improvements in the device itself since the 1960s. Now, researchers at Aalto University have developed a device that analyses a broad range of bodily functions and offers the doctor a probable diagnosis, as well as suggestions for appropriate further examinations. The researchers believe that the…
Professor Regina Beets-Tan, President of the European Society of Radiology (ESR), looks on possible future developments in cancer imaging. AI is very promising in this regard, 'However, it has proven to be a problem that the data with which the artificial intelligence is fed must be very homogeneous,' the expert observes.
Artificial intelligence-based technique reveals previously unknown cell components that may provide new clues to human development and disease.
Smartphone pictures of post-surgical wounds taken by patients and then assessed by clinicians can help with the early identification of infections, a study has found.
A 'new technology shows promise by analyzing images of suspicious-looking lesions and quickly producing a detailed, microscopic image of the skin, bypassing several standard steps typically used for diagnosis - including skin biopsy, tissue fixation, processing, sectioning and histochemical staining.
Professor Dina Tiniakos, from the National and Kapodistrian University of Athens, predicts that NASH (Non-alcohol related steatohepatitis) cases will soar worldwide by 2030, with 800,000 liver deaths, costing health economies billions of dollars.
Digital technology solutions create new opportunities in diagnosis and assessment of renal conditions. With whole slide imaging (WSI), improved workflow and better visualization, such technology already yields a ROI for hospitals and laboratories.
Video streaming of surgeries, augmented reality displays and at-home assessment of sleep apnea: Medtech companies from Taiwan will showcase their newest products at Medica in Düsseldorf. Ahead of the trade fair, the Taiwan External Trade Development Council (TAITRA) presented award-winning examples of the nation’s ingenuity.
Considerable advances in point-of-care testing (POCT) devices are emerging from lab-on-a-chip platforms, innovations in smartphone-based technology and wearable technology. Cloud-based deep learning systems herald a future revolution.
This year as every year, the very best in global HealthTech will be converging on Dusseldorf for the Medica trade fair. With more than 127 companies attending the event from November 15-18, France will have one of the largest contingents there. Grouped together under the brand umbrella of “French Healthcare”, the French MedTech companies will be presenting their many innovations to industry…
"Virtual Care & Digital Therapeutics", "Medical Artificial Intelligence & Robotics", "Fields of Innovation" and "Societal aspects of digitized healthcare" are the topics of this year's Health IT Forum at Medica. New this year: In line with the hybrid event concept of the trade fair, the Expert Panels, Tech Talks and Deep Dive Sessions can be…
Medica trade fair (November 15-18) is once again a welcome field for many healthcare start-ups to present their products. The joint stand at the 'Medica Start-up Park' in Hall 12 has become the central cross-national meeting point for the healthcare start-up scene, the fair's organizers are pleased to report. "We bring innovators and investors together. This time, more than 40 start-ups are…
A commonly available imaging technique can identify stroke patients most likely to benefit from a procedure to restore blood flow, a potential breakthrough in care that could save thousands of lives every year
The damage caused by Covid-19 to the lungs’ smallest blood vessels has been intricately captured using high-energy X-rays emitted by a special type of particle accelerator. Scientists used a new imaging technology called Hierarchical Phase-Contrast Tomography (HiP-CT), to scan donated human organs, including lungs from a Covid-19 donor.
Researchers have leveraged the power of digital pathology and computational modeling to detect and quantify podocytes, a specialized type of cell in the kidney that undergoes damaging changes during early-stage kidney disease.
Using cutting-edge genomic sequencing techniques, researchers at the University of Oxford have identified almost all the genomic variation that gives people resistance to 13 of the most common tuberculosis (TB) drug treatments. The Comprehensive Resistance Prediction for Tuberculosis International Consortium (CRyPTIC) research project has collected the largest ever global dataset of clinical M.…
Researchers at the national research institute for mathematics and computer science in the Netherlands (CWI), together with a colleague from Stichting Interuniversitair Micro-Elektronica Centrum (IMEC) in Eindhoven, have achieved a mathematical breakthrough in the computation of so-called spiking neural networks. Thanks to this breakthrough, special chips that are suitable for this artificial…
Roche announced that it has entered an agreement with PathAI, a global leader in artificial intelligence (AI)-powered technology for pathology. Under the development and distribution agreement, the companies will jointly develop an embedded image analysis workflow for pathologists. This workflow will allow PathAI image analysis algorithms to be accessed within Navify Digital Pathology, the cloud…
Type 2 diabetes can be diagnosed with a whole-body magnetic resonance imaging (MRI) scan. This is shown by a current study by researchers from the German Center for Diabetes Research, the Institute of Diabetes Research and Metabolic Diseases of Helmholtz Zentrum München at the University of Tübingen, the Max Planck Institute for Intelligent Systems and Tübingen University Hospital. They used…
Researchers at King's College Hospital and Queen Mary University of London have shown that a new computer-based algorithm can rank drugs used to treat primary liver cancer, based on their efficacy in reducing cancer cell growth.
“An artificial uterus – the incubator 2.0 – will become a reality within 10 years,” says Jasmijn Kok, one of the founders of Juno, a spin-off from the Eindhoven University of Technology, Netherlands. Together with researchers from the department of Industrial Design from the University, including her twin sister Lyla Kok, she wants to bring a technology that increases the chances of…
In recent years, digital pathology has become increasingly recognised as a clinical diagnostic tool and has taken a crucial role in pathology laboratories. One of the early adopters of digital pathology is the Department of Clinical Genetics and Pathology, Office for Medical Services, Region Skåne, a multisite Swedish laboratory which produces over 800,000 histopathology slides per year. The…
Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…
The FDA authorized marketing of software to assist medical professionals who examine body tissues in the detection of areas that are suspicious for cancer as an adjunct to the review of digitally-scanned slide images from prostate biopsies.
Decreasing the rate of missed lesions could translate into fewer cases of colon cancer.
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don’t have it.
The role of Artificial Intelligence (AI) is one of the most divisive issues in cardiology. Two leading experts argue the pros and cons of its use, exploring its benefits and advantages to cardiac care, as well as highlighting the pitfalls and shortcomings of AI, while underlining the need for clear guidelines and regulations for its use going forward.
Roche announced the introduction of the Roche Digital Pathology Open Environment that allows software developers to easily integrate their image analysis tools for tumour tissue with Roche’s uPath enterprise software, an application for pathologist workflow. This open environment allows for the secure exchange and flow of data so that pathologists can access advanced algorithms from third…
More than 50 leading digital pathology experts have been lined up for a major conference in London in December looking at all aspects of the field. Speakers will explore latest developments, new trends, challenges, and innovation, as well as the effects of Covid-19 on pathology practice, during the 8th Digital Pathology and AI Congress on December 1 and 2. Artificial intelligence will feature…
Scientists from the Nanyang Techniogical University (NTU) Singapore, in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore, have developed a novel method that uses artificial intelligence (AI) to screen for glaucoma, a group of eye diseases that can cause vision loss and blindness through damage to the optic nerve at the back of the eye. Glaucoma is often called ‘the…
Brexit could have a potential impact on healthcare delivery across the UK, according to an expert in the field. Dr Hugh Harvey believes that will be particularly noticeable in the area of Medical Device Regulation (MDR), with the UK and Europe seemingly going in different directions on the subject after the UK left the European Union (EU) at the end of last year.
Although artificial intelligence (AI) tools and smartphone apps that help identify suspicious moles and potential skin cancers are starting to proliferate, dermatology informatics has far to go before becoming a clinically adoptable technology. Many challenges need to be resolved, not least of which is the need for more image data representing people of colour.
Artificial intelligence (AI) can be used to give stroke patients a personalised and more accurate risk for suffering a recurrence, according to a new study presented at the European Stroke Organisation (ESO) Conference. Experts believe the study will help to identify the most important factors for preventing stroke recurrence and has the potential to help prevent many thousands of strokes a year…
Coronary computed tomography angiography (CCTA) is a non-invasive imaging test which can be used to evaluate coronary artery stenosis and measure plaques. Current plaque analysis is time-consuming and needs expert readers in order to help assess a patient’s heart attack risk. That’s about to change.
Artificial Intelligence (AI) is providing numerous opportunities across clinical care in the field of cardiovascular imaging. While challenges remain, AI is being applied in terms of diagnosis and prognosis, defining cardiovascular imaging pathways, and image acquisition and analysis. It can also help cardiologists predict which patients may do well, or which treatments are best applied to those…
An AI-led device to assess coronary CT angiographs has been designed to assess cardiac plaque that may lead to myocardial infarction (MI). In his presentation ‘Vascular inflammation and cardiovascular risk assessment using coronary CT angiography’ (CCTA), Charambalos Antoniades, Professor of Cardiovascular Medicine at the University of Oxford, presented the research team’s findings during…
Artificial Intelligence and Big Data in cardiovascular risk reduction and cardiac rehabilitation are offering new opportunities for increased diagnostic accuracy and more personalised exercise prescription. Experts believe it can be harnessed to design tools to enable cardiologists to make better decisions, and have more confidence in the decision-making process. The topic was featured at ESC…
Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases can be detected at a very early stage based on subtle changes. However, implanting AI within the human body is still a major technical challenge. TU Dresden scientists at the Chair of…
Digital pathology (DP) is a game-changer in the workflow, functionality and accessibility of a hospital’s pathology department. As pathologists understand the benefits, and the availability of commercial products and systems increase, alongside data transmission and storage costs decreasing, DP deployment in hospitals is accelerating. Pathology informatics expert Anil V Parwani MD PhD discussed…
Scientists are using artificial intelligence (AI) and the Cambridge-1 supercomputer to synthesise artificial 3-D MRI images of human brains and create models that show disease states across various ages and genders. The Synthetic Brain Project is focused on building deep learning models which have been developed by King’s College London (KCL) and NVIDIA data scientists and engineers as part of…
Some people change the narrative about technology and society. One of them is Nuria Oliver, Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute, and Co-founder and Vice-president of the European Laboratory for Learning and Intelligent Systems (ELLIS). In an interview with HiE, she explains how she develops computational tools and uses artificial…
Israel’s first virtual hospital has been created following the advances and applications learned from using telemedicine tools and techniques to care for coronavirus patients in isolation wards. Sheba Beyond was established in January and over the last few months has successfully delivered care to patients across a range of areas. The development of the project was outlined to the DMEA –…
A team of scientists at Argonne National Laboratory has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
Cancer informatics and digital pathology provider Inspirata announced that King’s Health Partners ECMC and Guy’s and St Thomas’ NHS Foundation Trust will pilot its Trial Navigator software as part of an evaluation the organisations are conducting into how artificial intelligence based automation can improve the identification and efficiency of matching patients with cancer to early phase…
The healthcare sector’s emphasis on meeting its Quadruple Aim goal—cost reduction, clinical outcomes, enhance the patient and caregiver experience, and improve the work-life of healthcare providers—encourages the medical imaging and informatics industry to use advanced technologies to tap into growth prospects. Frost & Sullivan’s recent analysis, Global Medical Imaging &…
A research team at Universitat Autònoma de Barcelona (UAB), in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to their characteristics. The research was published in the latest edition of the journal Artificial Intelligence in Medicine, with a special mention as a…
The Netherlands Cancer Institute, University of Amsterdam (UvA), and Elekta will collaborate on the development of new AI strategies for the further improvement of precision radiotherapy. This concerns the personalization of treatment by improving the quality of imaging used during treatment, predicting and accounting for changes in the patient’s anatomy over time, and automatically adapting…
To advance anti-tuberculosis (TB) science and enable the progression of new, safe, and affordable treatment solutions for TB patients worldwide, a new consortium of 30 partners from 13 countries has officially launched. The 7-year, €185 million project called Unite4TB, aims to accelerate and improve the clinical evaluation of combinations of existing and novel drugs, with the goal of developing…
The Covid-19 pandemic continues to impact people’s health across the world. This goes beyond the disease itself, as healthcare systems adapt how they provide services. Routine screening has been severely affected with screening programmes reduced or paused.
Cancer care and the treatment clinicians can offer patients is being increasingly enhanced by Artificial Intelligence (AI). The technology has a role in diagnosis, with algorithms trained to design and deliver patient care, can match patients to clinical trials they may benefit from, and even help predict outcomes and those at greatest risk.
Artificial intelligence (AI) could match the impact of PACS on radiology. Covid-19 stimulated the development and testing of AI diagnostic-aiding tools in radiology, an unintended consequence of the pandemic. More image data sets have been created to train AI software – an unexpected benefit for radiology research.
Cécile Geneviève is one of the few women who lead research and development (R&D) at a major company and her increasingly female team reflects women’s growing interest in the field. But while gender balance is an important criterion, it takes a broad palette of skills to innovate to alleviate pain for millions of patients, she explained in an interview with Healthcare in Europe.
Medical monitoring tech company Umana Medical announced a collaboration with the Preventive Cardiology and Medical Prevention, Center of Cardiology at the University Medical Center Mainz and Bayer AG on a clinical study (MyoMobile study) to explore a novel real-time remote cardiac monitoring device in patients with heart failure.
Pioneering technology developed by University College London (UCL) and Africa Health Research Institute (AHRI) researchers could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries. Academics from the London Centre for Nanotechnology at UCL and AHRI used deep learning (artificial intelligence/AI) algorithms to improve health workers’…
Experts at University College London (UCL) and spinout company Odin Vision working with clinicians at UCLH have used artificial intelligence (AI) to help detect early signs of oesophageal cancer. The first procedure in the world using the AI technology was performed at University College Hospital by UCLH consultant gastroenterologist Dr Rehan Haidry. The system, called CADU, uses AI to support…
Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance.
Technologies based on artificial intelligence (AI) are considered the epitome of progress. However, the data AI algorithms use to draw their conclusions is outdated. It ignores the existence of biological sex and socio-cultural gender and their effects on individual health and disease states. Thus, the ‘thinking machines’ not only reproduce discriminating bias and prejudices but also produce…
In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner because current audio processors still have difficulty focusing on specific sound sources. In a feasibility study, researchers from the Hearing Research Laboratory at the University of Bern and the Inselspital are now suggesting that artificial intelligence (AI) could solve…
When patients are admitted to a hospital emergency room (ER) it is immediately vital to determine whether s/he has Covid-19. However, with a regular PCR test a result can take up to a few hours. Thus, initially, the patient must be isolated. During the height of the corona pandemic last year, researcher Ruben Deneer from Eindhoven University of Technology (TU/e) and clinical chemist Arjen-Kars…
The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.
Over recent years interventional oncology (IO), as a subspecialty of interventional radiology, has become a standard component of many cancer therapies. The broad range of minimally invasive methods – and their results – are often comparable to those of traditional approaches, such as surgery, chemotherapy or radiotherapy, e.g. with regard to hepatocellular cancer (HCC), oligometastatic…
Canon Medical announced the commercial launch of the Aplio i-series / Prism Edition, a complete redesign of its premium ultrasound series. In addition, Aplio a-series, Canon Medical’s routine-to-advanced imaging range has also received a significant refresh.
Dr. Hayder Amin and Dr. Caghan Kizil from the DZNE’s Dresden site aim to speed up developing drugs against brain diseases through cutting-edge technology. To this end, they are generating an innovative technology platform, termed “i3D-Markers”, based on high-density microelectrode arrays and 3-dimensional networks of human neurons. Compounds to be tested will be dripped onto this setup, and…
Final results from a study of a blood test that can detect more than 50 types of cancer have shown that it is accurate enough to be rolled out as a multi-cancer screening test among people at higher risk of the disease, including patients aged 50 years or older, without symptoms. In a paper published in the cancer journal Annals of Oncology, researchers report that the test accurately detected…
With new Medical Device Regulations (MDR) now in force across Europe, the UK has chosen to retain pre-existing rules while also introducing mechanisms to allow it to draw up separate rulings for the sector in the future. The MDR took effect on May 26, aiming to harmonise and strengthen the pre-existing regulatory regime for medical devices, and enhance protection for consumers.
New artificial intelligence (AI) technology to scan for heightened blood vessel inflammation can calculate a person’s risk of death from Covid-19 and its variants.
Three leading AI scale-ups - Aidence, ScreenPoint Medical and Thirona - have launched the informative video series “Opening the black box of AI in medical imaging”.
Identifying new uses for approved therapeutic drugs continues to drive academics and clinicians to provide safe, affordable and rapid development of new treatment options for patients with common or rare diseases.
A new platform allows hospitals to deliver improved organisational and financial performance by deploying an Internet of Things (IoT) sensor network to collect data and using AI to analyse the gathered information in a HIPAA-compliant way.
Communities benefit from sharing knowledge and experience among their members. Following a similar principle - called “swarm learning” - an international research team has trained artificial intelligence algorithms to detect blood cancer, lung diseases and Covid-19 in data stored in a decentralized fashion. This approach has advantage over conventional methods since it inherently provides…
26 May 2021 marks the Date of Application of the European Medical Device Regulation (MDR). Replacing the Medical Devices and Active Implantable Medical Devices Directives, the Regulation is a welcome update for patient safety, transparency, and access to medical devices for Europeans. COCIR has been contributing to the development and implementation of the MDR since the very first discussions in…
Physicians are increasingly using software to automatically evaluate Holter ECG signals in adult patients, but so far, no software has been developed for children. Cardiomatics and the Medical University of Warsaw are on the way to a breakthrough in paediatric cardiology. They are developing an international tool for automatic assessment, analysis, and interpretation of electrocardiographic…
Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and…
Carestream Health is transforming and accelerating the way it develops and delivers AI applications for medical imaging that help improve patient care. The state-of-the-art initiative is based on Hewlett Packard Enterprise’s (HPE) GreenLake for Machine Learning Operations (ML Ops). The machine-learning-optimized cloud service infrastructure makes it easier and faster to get started with ML/AI…
Artificial Intelligence in health and care is being introduced across the UK via a major national project that is already producing a range of innovations. Latest developments were outlined to the online Intelligent Health conference in a headlining presentation by Dr Indra Joshi, Director of AI at NHSX, which is a joint unit bringing together teams from NHS England and NHS Improvement, and the…
A branch of artificial intelligence (AI), called machine learning, can accurately predict the risk of an out of hospital cardiac arrest--when the heart suddenly stops beating--using a combination of timing and weather data, finds research published online in the journal Heart. Machine learning is the study of computer algorithms, and based on the idea that systems can learn from data and identify…
Carestream Health has released Smart Noise Cancellation (SNC), a groundbreaking artificial intelligence (AI)-based technology that greatly improves image quality — producing images that are significantly clearer than with standard processing.
Determining safe yet effective drug dosages for children is an ongoing challenge for pharmaceutical companies and medical doctors alike. To make drugs and their development safer for children, researchers at Aalto University and the pharmaceutical company Novartis have developed a method that makes better use of available data.
A new research project will embrace the combination of 5G telecommunications technology and AI to offer continuous remote monitoring to seriously ill heart failure patients, for example those with Left Ventricular Assist Devices (LVADs).
Is artificial intelligence (AI) technology ready to be utilized as a clinical tool by interventional oncologists? Not yet, but when it is, AI technology’s clinical impact may be as profound as advanced imaging is today, two leading experts agree.
Diagnostic data from the massive amounts of testing being conducted can help make health systems more resilient in dealing with future health crises and pandemics. The importance of diagnostic data was explored during the Medtech Europe online session, “Unlocking the Value of Diagnostic Information – how to make European Health Systems more resilient?” where delegates heard that…
Researchers from Tel Aviv University have created an artificial intelligence platform that can identify the specific proteins that allow bacteria to infect the intestines.
Robotics, AI, and machine learning can make spinal surgery more accurate, efficient, and safer, thereby reducing costs, patient recovery time, and radiation exposure.
Fluxergy envisions that a fully articulated democratized testing health system has the potential to reduce the likelihood and the ultimate severity of pandemics like Covid-19. Our mission is to unlock the true potential of diagnostics to play a far greater and more important role in the early detection of diseases and ongoing monitoring of health status, where and when it matters most: at the…
A test which uses artificial intelligence (AI) to measure proteins present in some patients with advanced bowel cancer could hold the key to more targeted treatment, according to new research. A team at the University of Leeds collaborated with researchers at Roche Diagnostics to develop the technique, which will help doctors and patients to decide on the best treatment options.
An artificial intelligence (AI)-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a new study. “There are an increasing number of MRIs that are performed, not only in the hospital but also for outpatients, so there is a real need to improve radiology workflow,” said study co-lead author Romane Gauriau, PhD,…
In just the last two years, artificial intelligence has become embedded in scores of medical devices that offer advice to ER doctors, cardiologists, oncologists, and countless other health care providers. But how much do either regulators or doctors really know about the accuracy of these tools? A new study led by researchers at Stanford, some of whom are themselves developing devices, suggests…
Researchers from the Canadian University Healh Network (UHN) have developed and validated a deep learning model to predict a patient's long-term outcome after receiving a liver transplant. First of its kind in the field of Transplantation, this model is the result of a collaboration between the Ajmera Transplant Centre and Peter Munk Cardiac Centre (PMCC). The study, published in Lancet Digital…
In an industry where every second and every click counts, workflow inefficiencies consume as much as a third of the MRI procedure time. This is a key area of focus where technology advances can radically change what is possible with an MRI exam. Given declining reimbursements, fewer skilled resources, and the system-wide burden of chronic diseases, maximizing productivity is a strategic…
The pandemic has presented healthcare systems with new challenges, resulting in backlogs of routine screenings and delayed procedures which threaten the health and wellbeing of patients, as well as the ability of facilities to serve their communities. In order to address these widespread issues, we need to ensure that healthcare professionals are able to operate with precision, confidence and…
The U.S. Food and Drug Administration authorized marketing of the GI Genius, the first device that uses artificial intelligence (AI) based on machine learning to assist clinicians in detecting lesions (such as polyps or suspected tumors) in the colon in real time during a colonoscopy. “Artificial intelligence has the potential to transform health care to better assist health care providers and…
Royal Philips and Ibex Medical Analytics announced a strategic collaboration to jointly promote their digital pathology and AI solutions to hospitals, health networks and pathology labs worldwide. The combination of Philips digital pathology solution (Philips IntelliSite Pathology Solution) and Ibex’s Galen AI-powered cancer diagnostics platform, currently in clinical use in Europe and the…
What’s in a name? In the case of Asensus Surgical, Inc., previously known as TransEnterix, Inc., the recent rebranding doubles as a mission statement for the manufacturer of surgical robotics systems: The initial ‘A’ stands for artificial intelligence and augmented surgery, reflecting the company’s emphasis on new technologies designed to enhance the operator’s cognition (‘sensus’…
Body composition information derived from routine chest CTs can provide important information on the overall health of people with chronic obstructive pulmonary disease (COPD), including their risk of all-cause mortality. This is the result of a new study, published in Radiology. COPD is a group of chronic, progressive lung diseases that affect about 30 million people in the United States alone.…
Medical technology company iCAD, Inc. announced that ProFound AI for 2D Mammography might notably reduce the risk of interval breast cancer, according to a new retrospective analysis. The aim of the study was to determine if adding AI to reading mammography as a supportive tool may help in decreasing the interval cancer rate in population-based organized mammography screening programs in Germany.
Experts from Sweden, Finland and Kenya are using digital microscopy combined with Artificial Intelligence (AI) to deliver a rapid and effective cervical screening service to rural locations in Kenya. The project sees AI and digital diagnostics bridge the gap between low-resource settings and the availability of centralised AI-enhanced expertise and pathology services, located in larger cities in…
Emerging technologies can screen for cervical cancer better than Pap smears and, if widely used, could save lives both in developing nations and parts of countries, like the United States, where access to health care may be limited. In Biophysics Reviews, by AIP Publishing, scientists at Massachusetts General Hospital write advances in nanotechnology and computer learning are among the…
International genomics research led by the University of Leicester has used artificial intelligence (AI) to study an aggressive form of cancer, which could improve patient outcomes. Mesothelioma is caused by breathing asbestos particles and most commonly occurs in the linings of the lungs or abdomen. Currently, only seven per cent of people survive five years after diagnosis, with a prognosis…
Healthy and cancer cells can look similar under a microscope. One way of differentiating them is by examining the level of acidity, or pH level, inside the cells. Tapping on this distinguishing characteristic, a research team from the National University of Singapore (NUS) has developed a technique that uses artificial intelligence (AI) to determine whether a single cell is healthy or cancerous…
From swallowing pills to injecting insulin, patients frequently administer their own medication. But they don’t always get it right. Improper adherence to doctors’ orders is commonplace, accounting for thousands of deaths and billions of dollars in medical costs annually. Researchers at the Massachusetts Institute of Technology (MIT) have developed a system to reduce those numbers for some…
Moderna and IBM announced their intentions to explore technologies, including artificial intelligence, blockchain and hybrid cloud, that could help support smarter Covid-19 vaccine management. Central to the effort will be a pilot of open, standardized, technology-enabled vaccine distribution approaches aimed to improve supply chain visibility and foster near real-time tracking of vaccine…
Parkinson’s disease (PD) usually causes facial abnormalities that affect a person’s self-esteem and relationships. However, these abnormalities are difficult to analyze quantitatively with current methods. To address this issue, scientists from Okayama University, Japan, explored whether commercial AI-based facial analysis software could be useful in this context. Their results show that…
In the move to evidence-based medicine, healthcare budgets put more pressure on efficiency, while quality of care has to meet ever increasing standards. Agfa has chosen to direct its development of artificial intelligence (AI) solutions towards helping radiology departments meet these challenges. Agfa’s SmartXR AI upgrades for its digital radiography portfolio focus on supporting operational…
Researchers at TU Berlin and Charité – Universitätsmedizin Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments make this system unique: For the first time, morphological, molecular and histological data are integrated in a single analysis. Secondly, the system…
One of the leading figures in global radiology has highlighted the importance of fostering a strong eco-system to advance the safe and effective implementation of AI in medical imaging. Dr Geraldine McGinty said that to fully leverage the power of AI, all stakeholders must work together but underlined the unique responsibility physicians have to ensure patient interests are best served.
Whole-body magnetic resonance imaging (WB-MRI) can detect prostate cancer and inform about treatment response and disease progression earlier and better than other imaging modalities. A Belgian expert will delve into the latest and future developments of the technique for prostate cancer and distant metastases imaging in a dedicated session at ECR. WB‐MRI and nuclear medicine -…
With a growing number of Artificial Intelligence (AI) algorithms to support medical imaging analysis, finding the best solution for specific radiology tasks is not always straightforward. Many are cloaked in secrecy and commercial sensitivity and while an algorithm may perform well in one area, evidence of performance and adaptability in another environment is not always available.
The impact of Covid-19 has been devastating; countless lives lost, millions of infections worldwide, health systems overwhelmed and economies rapidly shrinking. Screening, such as for breast or cervical cancer, is an area particularly affected, with numerous appointments delayed.
A new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. DeepCAT (Deep Computer-Aided Triage) is focused on workflow prioritization.
Implementation of artificial intelligence into Scotland’s national breast screening service is moving closer following an initial success with a trial project. While Scotland’s breast screening trial has delivered highs and lows, significant hurdles have been overcome in terms of approvals, governance and patient acceptance.
Pan-European lung cancer screening is challenged due to the range of approaches in different countries. As attitudes towards smoking and smoking cessation programmes vary, experts are attempting to establish more unified lung cancer screening. The introduction of consistent pan-European lung cancer screening will be outlined at a special session during the online ECR 2021, with presentations…
Advances offered by Big Data and Artificial Intelligence within the healthcare environment are opening up new opportunities for radiographers. Roles in systems development, and being part of the safeguarding aspect by ensuring machine-based bias does not take over patient management, may be performed by radiographers alongside other contributions as AI plays an increasing role in healthcare.…
Carestream Health will highlight cutting-edge medical imaging technologies at the largest radiology meeting in Europe—the virtual European Congress of Radiology (ECR) in Vienna, Austria, beginning on March 3. The company will feature a wide range of products that demonstrates its leadership in digital medical imaging capture and processing, and improved user and workflow experiences.
"Given the rapid transition towards digitisation, digital pathology is now unquestionably the future", reports pathologist Dr Talat Zehra from Pakistan. "However, some pathologists, particularly in underdeveloped countries, are still reluctant to accept its place in their labs. Among their many reasons, some feel that histopathology is a very complex and subjective field and…
USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy.
In order to detect the Corona virus SARS-CoV-2, there are further methods of diagnosis apart from the globally used PCR tests (Polymerase chain reaction): The infection can also be recognised on CT scans – for which Artificial Intelligence (AI) can be used as well. An AI system can not only filter CT scan of Covid-19 patients from a data set, but also estimate, which areas of the image are of…
Coronavirus-associated concerns dominate the Top 10 list of important technology hazard risks for hospitals, in an annual report published by ECRI, a nonprofit technology Pennsylvania research firm. The list is derived from ECRI’s team of technology experts who monitor hospital and healthcare organizations, and published to inform healthcare facilities about important safety issues involving…
Hybrid PET/CT imaging can fully play to its strengths and steer treatment towards more effective procedures for diagnosing prostate cancer. The examination of the specific antigen PSMA with hybrid PET imaging enables treatment monitoring with significantly higher diagnostic accuracy than conventional imaging and therefore, Professor Clemens Cyran believes, will soon become the standard diagnostic…
Someone has a stroke every 40 seconds in the US, resulting in death every 4 minutes. Stroke is the leading cause of disability from a medical condition. When it happens, blood clots or bleeds kill a part of the brain – it goes dark – and can no longer control part of the body. People stop being able to walk, see, talk, or control their hand or arm the way they once did. Although treatments…
Researchers at the University of Arizona are developing a Covid-19 testing method that uses a smartphone microscope to analyze saliva samples and deliver results in about 10 minutes. The research team, led by biomedical engineering professor Jeong-Yeol Yoon, aims to combine the speed of existing nasal swab antigen tests with the high accuracy of nasal swab PCR, or polymerase chain reaction,…
Artificial intelligence (AI) image reconstruction dramatically reduces magnetic resonance imaging (MRI) scan time, according to new research. The first clinical study comparing AI-accelerated knee MRI scans with conventional scans shows that the AI scans are not only diagnostically interchangeable with conventional ones, but also produce higher quality images. Results of this interchangeability…
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer. The tool, called RadClip, uses AI algorithms to examine a variety of data, from MRI scans to molecular…
A new generation of tissue microarrays are delivering more efficient and time-effective solutions to answering complex clinical and scientific questions. Sitting at the core of this new approach is digital pathology, allowing specific and targeted analysis of small areas of tissue.
It is a simple image of two desks in a hospital pathology department, taken a matter of months apart. But there can be few more vivid images that illustrate the changing world of pathology as the specialty forges ahead into the digital era. The image was taken by Dr Solène-Florence Kammerer-Jacquet during the transition towards digital pathology at Rennes University Hospital in France in the…
The U.S. Food and Drug Administration released the agency’s first Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. This action plan describes a multi-pronged approach to advance the Agency’s oversight of AI/ML-based medical software. “This action plan outlines the FDA’s next steps towards furthering oversight for AI/ML-based SaMD,”…
Aneurysm operations in the brain rank among the most delicate procedures in neurosurgery. The highest demands are placed on surgeons when choosing the type of intervention, planning the route and carrying out extremely delicate procedures on the blood vessel. A new training technology co-developed between Inselspital, Bern University Hospital, and ARTORG Center of the University of Bern, will…
Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The intent of this work is to speed up drug repurposing, which is not a new concept – think Botox injections, first approved to treat crossed eyes and now a migraine treatment and top cosmetic…
The Covid-19 pandemic came as a shock but not a surprise. Bodies around the world have been warning for years of a novel disease that could wipe out millions and crash the global economy. In February 2019, Dr Jonathan Quick, chair of the Global Health Council, told Raconteur: “Our greatest fear is being blindsided by a new virus, most likely due to animal-human spill over, which then readily…
AI can help tackle inequities and bias in healthcare but it also brings partiality issues of its own, experts explained in a Hot Topic session entitled "Artificial Intelligence and Implications for Health Equity: Will AI Improve Equity or Increase Disparities?" at RSNA.
Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy radiotherapy preparations. The AI technology, known as InnerEye, is the result of an eight-year collaboration between researchers at Cambridge-based Microsoft Research, Addenbrooke’s Hospital and the University of Cambridge.
Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what’s been learned. This ability to be adaptive has been hard to replicate in machines. Now, researchers at the Salk Institute have used a…
The deployment of conversational user interfaces (CUI) or chatbots to healthcare has started gaining momentum. It is fueled by the rising power of artificial intelligence (AI), the increasing popularity of mobile health applications as well as the desire for engagement and usability. The past few years have seen a myriad of innovations in chatbots that can automate and engage in human-like…
An Artificial Intelligence test has been shown to be able to rapidly screen patients arriving in Emergency Departments for Covid-19, using clinical information routinely available within the first hour of coming to hospital. Results of the CURIAL study, published in The Lancet Digital Health, show that the AI test correctly predicted the Covid-19 status of 92.3% of patients coming to Emergency…
The sudden spread of COVID-19 in early 2020 has considerably exacerbated the issue as it forced the closure of “non-essential” radiology activities while dramatically increasing the number of patients requiring a scan.
Cancer cells spread by switching on and off abilities to sense their surroundings, move, hide and grow new tumors, a new study has found. This sensitivity to their surroundings is the key ability that makes small numbers of cancer cells better at spreading than other cells in a tumor.
In a preclinical study, NIH scientists found that the commonly used antibiotic methacycline may be effective at combating the neurological problems caused by Zika virus infections.
A software tool to predict the most effective therapy for non-small cell lung cancer (NSCLC) developed by applying deep learning artificial intelligence (AI) to positron emission tomography/computed tomography (PET/CT) images has been developed by researchers at H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida. The tool is designed to provide a noninvasive, accurate method to…
In a virtual roundtable 5G discussion five healthcare IT experts, three senior executives from major USA medical centres and two consultants, discussed questions posed by members of the Healthcare Information and Management Systems Society (HIMSS).
Prostate cancer radiotherapy treatments guided by MRI are increasingly being explored to help improve patient outcomes and reduce toxicities after treatment. However, this development is being held back as the MRI approach is labour intensive and requires daily adaptive treatment planning, placing significant additional demands on clinician time and oncology services. To address this, a team of…
Low, light and with a field strength: 0.55-tesla with added new digital technologies. Indeed, this is a very new class of MRI scanner created by Siemens Healthineers. We interviewed Christiane Bernhardt, Vice President of Magnetic Resonance Marketing & Sales, Business Line MR, at Siemens Healthineers, about the technologies behind this development, plus its advantages and applications.
The coronavirus pandemic has had a severe impact on healthcare services but one area where that has been felt particularly deeply is with lung cancer screening. With sessions cancelled, treatment delays and social-distancing and safety requirements, many patients have been affected. However, as services begin to pick up again and lung cancer screening returns, three experts closely associated…
Chronic illnesses can have a dramatic impact on a patient's later life. An early diagnosis of such diseases opens up the possibility of taking medical action in good time.
For the first time in the history of MEDICA, the world-leading medical trade fair, and the industry’s number one platform for the suppliers of the medical technology industry, COMPAMED, held from 16 to 19 November 2020, took place entirely online due to the pandemic - but still won over their audiences due to their high degree of international resonance in this format too, as virtual.MEDICA and…
Patient safety in endoscopy must be approached from a holistic perspective, through solutions which increase detection rates of abnormalities, increase confidence in the safety of the reprocessing outcome, and control the risk of infection and cross-contamination. With these important benefits in mind, manufacturers should be continuously working to innovate products to establish solutions that…
With its Magnetom Free.Max, Siemens Healthineers is presenting a new class of magnetic resonance imaging (MRI) systems that the company calls “High-V MRI.” The scanner’s unique combination of digital technologies and the new field strength of 0.55 tesla broadens the range of clinical applications for MRI systems. Magnetom Free.Max considerably improves pulmonary imaging with MRI and allows…
For the first time in their history, the world-leading medical trade fair MEDICA and the international number one event for the medical manufacturing supply market, COMPAMED, will be held entirely online as virtual.MEDICA and virtual.COMPAMED from Monday, with around 1,400 exhibitors hailing from 56 countries. Throughout the four days of the trade fair (16 – 19 November 2020), international…
MEDICA in Düsseldorf is a world-leading platform for the medical technology business and the healthcare industry and has always been one of the places to be for the entire sector as it covers current digital health trends, innovative products and services for linking all of the major stakeholders in medical care. Consequently, digital health is a mainstay of virtual.MEDICA, which, due to the…
The new Joint Imaging Platform – JIP for short – is a flexible, decentralized analysis platform for medical images. The JIP was initially developed for the German Cancer Consortium (DKTK) sites. It is designed to facilitate cross-institutional imaging projects and to help meet the technical and legal challenges associated with the joint use of imaging data.
Easy to use and absolutely accurate: our intelligent matchmaking tool will revolutionize the way you connect with potential new contacts before, during and after the trade fair runtime.
In order to analyze tumors, they have to be cut into thin slices. Now, a new technology has been developed that makes pieces of the tumor visible in 3D without cutting them.
This year, the MEDICA LABMED FORUM will offer a high-profile programme with top speakers which is free for registered online visitors.
In the first study of its kind in cancer, researchers have applied artificial intelligence to measure the amount of muscle in patients with brain tumours to help improve prognosis and treatment.
The field of AI-enhanced imaging provides radiologists with an unprecedented opportunity to shape patient care, leading Austrian radiologist Katja Pinker-Domenig explained at ECR 2020.
Olympus Corporation announced the launch of Endo-Aid, a platform powered by artificial intelligence (AI) that includes the endoscopy application Endo-Aid CADe (computer-aided detection) for the colon. This new AI platform enables real-time display of automatically detected suspicious lesions and works in combination with Olympus’ recently introduced EVIS X1, its most advanced endoscopy system…
An AI (Artificial Intelligence) assisted polyp detector is helping endoscopists find more lesions during colorectal examinations. Leading endoscopists highlighted how the system is improving performance and finding flat or hidden polyps that the human eye could miss, in a webinar entitled “Artificial Intelligence - How to unleash the potential for colorectal polyp detection.” Hosted by the…
Currently, ultrasound machines are operated primarily by specialists because it requires extensive experience to interpret the images. Norwegian researchers are aiming to tackle this issue.
Siri and Alexa are leading the way: the virtual assistants meet many daily needs. Soon, similarly programmed software and a ‘digital patient twin’, will be launched into the medical world – both IT applications based on Artificial Intelligence (AI). The virtual medical assistant and digital patient twin are two key aspects of a research project ‘Models for Personalised Medicine’.…
Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a “major, long-standing obstacle to increasing AI capabilities” by drawing inspiration from a human brain memory mechanism known as “replay.” First author and postdoctoral researcher Gido van de Ven and principal…
As Artificial Intelligence continues to impact on the development of digital pathology, potential users are still slow to implement key enabling technologies to harness the benefits, according to Dr David McClintock, who will detail critical steps for pathology departments to transition practice from glass (analogue) to digital (whole slide imaging) and embrace AI, to the 6th Digital Pathology…
The anatomical pathologist faces a crisis. Public and private labs suffer increasing caseloads, whilst pathologist numbers diminish for various reasons, including greater cancer prevalence associated with aging populations as well as improved cancer screening programs. Precision medicine typically involves more genetic testing and extensive use of immunohistochemistry to classify cancer and…
Artificial Intelligence (AI) has, for the first time, measured blood flow to the heart to help predict which patients may suffer myocardial infarction or stroke. A research team at University College London and Barts Health NHS Trust and the National Institutes for Health (NIH) in the USA – are optimistic that AI analysis of perfusion maps will be a reliable, convenient and detailed new…
Sending a “selfie” to the doctor could be a cheap and simple way of detecting heart disease, according to the authors of a new study. The study is the first to show that it’s possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person’s face. Although the algorithm needs to be developed further and tested in larger…
Value-based healthcare is gaining momentum and radiologists must increasingly show their contribution in improving patient care. Artificial intelligence (AI) can help them to do so and brings a series of new opportunities, according to Charles E Kahn, Professor and Vice Chairman of Radiology at the University of Pennsylvania, speaking at a meeting in Madrid in January. AI can do a lot to improve…
Patients who need surgery to fix major bone fractures use fewer opioid pills after their procedure if they're reminded of their values – and those reminders don't necessarily need to come from a doctor, according to a new study published in the Journal of Medical Internet Research. “We showed that opioid medication utilization could be decreased by more than a third in an at-risk patient…
Researchers from Eindhoven University of Technology (TU/e) and the Catharina Hospital in Eindhoven have developed a new algorithm for the rapid screening for COVID-19. The software is intended for use in Emergency Rooms (ER), to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan…
Researchers at the University of Notre Dame are developing a new technique using artificial intelligence (AI) that would improve CT screening to more quickly identify patients with the coronavirus. The new technique will reduce the burden on the radiologists tasked with screening each image. Testing challenges have led to an influx of patients hospitalized with COVID-19 requiring CT scans which…
In recent years, technological and regulatory advances have made digital pathology a viable alternative to the conventional microscope. The obtention of a digital replica of the traditional glass slide and its use for primary diagnosis has revolutionized pathology and is shaping the future of the discipline. A digital pathology lab uses digital histology slides for routine diagnosis, and these…
Researchers have developed a novel three-dimensional imaging system to diagnose cervical cancer faster, non-invasively and more efficiently than conventional methods.
To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study…
Frost & Sullivan’s recent analysis, Post-Pandemic Global Healthcare Market Outlook, 2020, forecasts that 2020 will be an unforgiving but transformational year for the healthcare industry. As the world grapples with a global emergency caused by the COVID-19 pandemic, the healthcare industry is expected to witness a drop in growth from 5.3% to 0.6% in 2020, with revenues remaining below the…
The Artificial Intelligence (AI) landscape confronting the radiographer profession will be outlined in sessions at ECR 2020, with leading practitioners urging the need for an evidence-based approach in order to deliver a safe and effective service for patients. The session, under the broad heading of “Artificial intelligence and the radiographer profession”, aims to discuss AI within the…
Dr Francis Zarb, senior radiography lecturer at the University of Malta, outlined challenges in correctly positioning patients needing musculoskeletal imaging. During our interview, he also offered a brief insight into the use of artificial intelligence (AI) in radiography today.
The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…
Thales’ expert knowledge in digital technology as well as in hardware and software systems has enabled the company to become a market leader in major innovation fields such as the cloud, connectivity and artificial intelligence. Thales is proud to launch its unique Connected Radiology platform which will bring multiple benefits to the efficiency of hospitals through the non-stop use of…
Luis Martí-Bonmatí, Director of the Medical Imaging Department at La Fe Hospital in Valencia, highlighted the need to assess utility when developing AI tools during ECR 2020. Artificial intelligence (AI) can impact and improve many aspects of clinical practice. But current expectations are too great and need to be toned down by looking at opportunities.
The coronavirus pandemic created unprecedented upheaval and challenges within health systems, economies, and society. In hospitals, new ways of working had to evolve. Social distancing led to virtual consultations and teleradiology has found an added dimension. We asked three radiologists about the relevance of teleradiology during the epidemic, and what the future holds.
Artificial Intelligence is an essential tool for the healthcare operators on the front line in the fight against the Coronavirus pandemic. ASST Vimercate Hospital chose and implemented in the midst of the COVID-19 emergency REiLI, Fujifilm Medical Systems’ Artificial Intelligence.
In the world of laboratory diagnostics, ‘Abbott’ is a household name. Few people however are aware of the fact that the company, headquartered in Illinois, USA, is also leading in other fields. A number of innovations in cardiac and vascular diagnostics and therapy might soon put Abbott in the limelight. Dr Angela Germer, Regional Director DACH, and Volker Keller, Head of Marketing DACH,…
The Norfolk and Norwich University Hospital (NNUH) has taken the first steps towards establishing a digital histopathology service, which will help to improve cancer care. New systems are being introduced to embrace new technology to track specimens, digitise slides and enable clinicians to analyse and report cases digitally on computers.
Understanding the source and network of signals as the brain functions is a central goal of brain research. Now, Carnegie Mellon engineers have created a system for high-density EEG imaging of the origin and path of normal and abnormal brain signals.
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual…
Computer scientists working with pathologists have trained an artificial intelligence (AI) tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment. The AI tool was able to differentiate between immune cells and cancer cells, enabling researchers to build a detailed picture of how lung cancers evolve in response to the immune system in…
Establishing whether a patient is suffering from severe lung disease, possibly COVID-19, within a few minutes: this is possible using fairly simple ultrasound machines that are enhanced with artificial intelligence. A research team at Eindhoven University of Technology (TU/e) and the University of Trento in Italy has been able to translate the expertise of top lung specialists into a software…
Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans. The algorithm, which has been tested on simulated data, enables them to distinguish…
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence (AI) diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published in Nature Medicine. The AI model uses data from the COVID Symptom Study app to predict COVID-19 infection, by comparing…
Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows. During the recent Digital Pathology and AI Congress (London), Professor Viktor Koelzer explored the benefits and paid particular attention to colorectal cancer (CRC).
Researchers at Northwestern University are using artificial intelligence (AI) to speed up the search for COVID-19 treatments and vaccines. The AI-powered tool makes it possible to prioritize resources for the most promising studies — and ignore research that is unlikely to yield benefits. In the midst of the pandemic, scientific research is being conducted at an unprecedented rate. The Food and…
An ingenious necklace which detects abnormal heart rhythm will be showcased for the first time on EHRA Essentials 4 You, a scientific platform of the European Society of Cardiology (ESC). “The wearable necklace-ECG (electrocardiogram) provides a new and easy method for detecting an abnormal heart rhythm called atrial fibrillation, which is a fast-growing public health problem,” said study…
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed an AI that automatically diagnoses atrial fibrillation and five other common ECG abnormalities just as well as a cardiologist. The study has been published in Nature…
Coronavirus can be identified automatically from sick patients’ lung X-rays using artificial intelligence (AI) developed at Brunel University London.
Hospitals and organizations worldwide joined forces with AI imaging company icometrix in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a…
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
The Central Laboratory at the Medical University Hanover, Germany, is prepared to handle virtually any clinical chemistry task, from a routine test to the most complex analysis. Equipped with state-of-the-art technology and thanks to a high degree of automation, the team can process more than 3,000 specimens, mostly blood and urine, in a single day. Professor Ralf Lichtinghagen, European…
HM Hospitales, a leading Hospital Group in Madrid, decided to provide the international scientific community with totally anonymized health data regarding patients being treated for the SARS-CoV-2 virus in their facilities.
Siemens Healthineers AG took a big step last October. To incorporate treatment along an entire clinical path, the firm acquired Corindus Vascular Robotics, Inc., to combine image-guided diagnosis with robot-assisted surgery. A couple of months later, the Corindus endovascular robotic system CorPath GRX was used to implant a vascular stent into an obstructed coronary artery – the first use of…
SymphonyAI Group, an operating group of leading business-to-business AI companies, announced the acquisition of TeraRecon, the market-leading advanced visualization and AI solution provider for medical imaging. As SymphonyAI Group’s seventh portfolio company, TeraRecon has a charter to establish a new portfolio of healthcare AI solutions focused on medical imaging. Using newly patented AI and…
Many studies claiming that artificial intelligence (AI) is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, posing a risk for the safety of ‘millions of patients’ warn researchers in The BMJ. Their findings raise concerns about the quality of evidence underpinning many of these studies, and highlight the need to improve…
University of Massachusetts Amherst researchers have invented a portable surveillance device powered by machine learning – called FluSense – which can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses and influenza trends. The FluSense creators say the new edge-computing platform, envisioned for use in hospitals, healthcare waiting rooms…
Capturing all the possibilities brought by AI long-seemed a faraway dream for hospitals, since most artificial intelligence (AI) solutions are vendor dependent, thus complicating their deployment in clinical practice. However, the dream has become reality at Utrecht UMC, which launched a pioneering AI infrastructure able to monitor information and run any algorithm from its HIS, RIS and PACS.…
EIT Health and McKinsey & Company have published a Europe-wide report “Transforming healthcare with AI: The impact on the workforce and organisations” exploring the impact of AI on healthcare practitioners, as well as the implications and obstacles for scaling AI in healthcare organisations and systems.
Diseases of the brain are often associated with typical vascular changes. Now, scientists at LMU University Hospital Munich, Helmholtz Research Centre for Environmental Health and the Technical University of Munich (TUM) have come up with a technique for visualising the structures of all the brain's blood vessels – right down to the finest capillaries – including any pathological changes. So…
Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate.
Radiology, pathology, medical genetics and laboratory medicine under one roof: many hospitals are toying with the idea of ‘integrated diagnostics’ but it was the medical management at Geneva’s University Hospital that dared to take the first step and consolidate all these diagnostic disciplines in a single organisational unit: The Diagnostic Department. ‘Our long-term vision is a…
Blockchain is a concept that could have significant benefits for healthcare – particularly in radiology – but several challenges remain. Although an effective conduit through which to share data and medical images, particularly across health systems, one drawback is speed, given the amount of data that can be involved. However, Professor Morgan McBee, paediatric radiologist and imaging…
Examining the safety of AI integration into clinical workflow during at the British Institute of Radiology (BIR) annual congress in London, this November, Professor Nicola Strickland focused on issues of data quantity and quality, regulation, validation and testing of algorithms. She also urged radiologists and computer scientists to work more closely together to develop safe, effective and…
As a highly innovative medical specialisation, radiology increasingly takes advantage of the possibilities offered by artificial intelligence (AI). Yet, there is no risk for the future of the specialty. Demands on this discipline are too complex, too communicative. Thus, machines will not replace a radiologist any time soon – of that Uwe Joseph Schöpf, professor of radiology, cardiology and…
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they’ve been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say. It will also help provide local and public health officials with real time information on emerging demographics of those…
Engineers at Rutgers University have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their most recent research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on…
Artificial intelligence (AI) has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Published in the Journal of Clinical Sleep Medicine, the position statement was developed by the AASM’s Artificial Intelligence in Sleep Medicine…
A simple blood test coupled with artificial intelligence (AI) analysis could help spot the signs of a brain tumour sooner in patients. Brain tumour diagnosis is difficult: patients often see their family doctor (GP) several times before referral for a scan. However, research presented at the 2019 National Cancer Research Institute (NCRI) Cancer Conference in Glasgow last November suggests the…
The UK and Europe are facing a serious lab skills shortage over the next decade with medical laboratories among the worst affected. An ageing population and skilled operators retiring without being replaced by a new generation of lab technicians is at the core of a critical lack of skilled lab workers, with it taking 5-10 years for a technician to become fully competent and an expert in their…
Infrared thermometers are now used in most subway stations in China to prevent the spread of novel coronavirus (SARS-CoV-2) pneumonia (MCP). Many stations have implemented an artificial intelligence (AI) based fever screening system developed by the Beijing-based company Megvii Technology Limited. The system supports non-contact remote temperature screening from a distance of 3 meters. "This…
It’s time to cut through the hype surrounding artificial intelligence and begin to understand the reality in terms of application in radiology. With many different algorithms available that cover a growing array of diagnostic and interpretational areas, Dr Anjum Ahmed believes hospitals and care providers now need to ask the right questions when weighing up AI implementation in their clinical…
Researchers at Linköping University (LiU) have developed an algorithm that can identify patients at a higher risk of septic shock, a life-threatening condition that is difficult for doctors to predict. At the same time, it is important to recognise the symptoms as early as possible, since early treatment increases the chance of survival. A group of LiU researchers is using artificial…
The use of Artificial Intelligence (AI) in clinical settings is already a reality, one that has brought benefits to patients, healthcare stakeholders and wider society. These developments have now been highlighted in a library of use cases on ‘Artificial Intelligence in Healthcare’, published by COCIR. The publication of this library of use cases fulfils COCIR’s commitment in its April 2019…
Pentax Medical, a division of the Hoya Group, announced that it has cleared CE mark for Discovery, an innovative Artificial Intelligence (AI) assisted polyp detector designed to support endoscopists in finding potential polyps during a colorectal examination. Discovery is the outcome of a close cooperation between Pentax Medical research center located in Augsburg, Germany, and expert clinical…
Researchers at Karolinska Institutet have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer. The AI-system has the potential to solve one of the bottlenecks in today’s prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions. The study, presented in The Lancet Oncology, shows that the…
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors, a new study finds. Published in Nature Medicine, the study examined the diagnostic accuracy of brain tumor image classification through machine learning, compared with the accuracy of pathologist interpretation of conventional…
A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images. The international team behind the study, which includes researchers from Google Health, DeepMind, Imperial College London, the NHS and Northwestern University in the US, designed and trained an artificial intelligence (AI) model on mammography images from almost 29,000 women.…
A popular proverb in Mandarin goes ‘Hearing something a hundred times is not as good as seeing it once’ (百聞不如一見). Visiting the Taiwan pavilion at this year’s Medica, it’s clear to see that the Bureau of Foreign Trade (MOEA) from Taiwan, together with the Taiwan External Trade Development Council (TAITRA) and its foster companies, have taken this sentiment to heart.
A new multicentre study will investigate the link between brain inflammation and psychosis, and use artificial intelligence techniques to identify patients that might benefit most from novel treatments. The study, funded by UKRI Medical Research Council, is led by the Universities of Birmingham and Cambridge. Researchers will examine how and if activated inflammatory cells may act differently in…
An enthralling insight into the care that could be offered to cancer patients of the future was presented by cancer imaging expert Professor Regina Beets-Tan during her a keynote presentation at the recent British Institute of Radiology congress. In the session ‘Oncologic imaging: Future perspectives’, the professor outlined what a Multi-Disciplinary Team (MDT) of the future – a team in…
Prostate cancer is the second cause of cancer-related death in men. Currently, its diagnosis occurs via imaging and must be confirmed by biopsy. Simona Turco from the Eindhoven University of Technology (TU/e) wants to improve prostate cancer diagnosis by using machine learning algorithms to localize tumors and thereby replace entirely the necessity for biopsies. Besides, by combining this with…
A material that is particularly toxic when bacteria are present in its environment? Physicists from the University of Augsburg, together with colleagues from Hamburg and Munich, have developed just such an "smart" coating. In the future, it could help prevent complications in the healing of endoprostheses. The coating also offers further advantages: It is extremely wear-resistant and…
Radiomics is one of the most exciting topics in radiology. It involves data and artificial intelligence (AI) but very few people know or understand the details. In her lecture ‘How does Radiomics work?’, presented at the German Radiology Congress in Leipzig, Professor Ulrike Attenberger outlined how radiomics will advance radiology but also the obstacles faced along the way.
Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…
Although breast cancer (BC) mammography screening enables early detection of breast cancer, mammography presents issues such as variability between the radiology readings and shortage of radiologists. This area of medical imaging is where artificial intelligence (AI) could help make the biggest difference and improve patient outcome.
At RSNA 2019, GE Healthcare launches more than 30 new, imaging intelligent applications and smart devices designed to drive efficiency in radiology departments, aiming to double productivity and cost savings for systems by 2025. For healthcare executives, the new offerings help systems to save costs, improve technology utilization, and increase patient volumes. Clinicians also will benefit from…
Fujifilm Medical Systems U.S.A., Inc. will present research and development advancements in Artificial Intelligence (AI) for digital radiography at McCormick Place in Chicago during the 105th scientific assembly and annual meeting of the Radiological Society of North America (RSNA) from December 1 – 6, 2019. "AI has the potential to bring a wealth of advancements to the medical imaging…
Scientists from the Case Western Reserve University digital imaging lab use Artificial Intelligence (AI) to predict which lung-cancer patients will benefit from expensive immunotherapy. This is done by teaching a computer to find previously unseen changes in patterns in CT scans taken when the lung cancer is first diagnosed compared to scans taken after the first 2-3 cycles of immunotherapy…
AI has made headlines for years, including in such scientific publications as ‘Nature’, an indication of its high relevance, according to Dr Tobias Müller, Head of Digital Transformation at the Rhön-Klinikum AG. However, he also delivers a note of caution because studies are often aimed at demonstrating the equivalence of AI-based diagnoses with those made by doctors. ‘You have to read…
Artificial intelligence (AI) opens up a host of new diagnostic methods and treatments. Almost daily we read about physicians, researchers or companies that are developing an AI system to identify malignant lesions or dangerous cardiac patterns, or that can personalise healthcare. ‘Currently, we are too focused on the topic,’ observes Professor Christian Johner, of the Johner Institute for…
Augsburg, Bavaria – Five teams of robotics specialists are finalists in the KUKA Innovation Award 2019 competition. Established in 2014, the Award focuses on medical robotics for the first time, Dr Rainer Bischoff, Vice President Corporate Research at KUKA, one of the judges of the award, explained. Around thirty talented robotics teams from all over the world submitted their concepts and an…
With the right tools, physicians could transform the lives of patients and scientists. For Kimberly Powell, Vice President of Healthcare at NVIDIA, artificial intelligence is such a tool, and could meet the increasing demand for personalised medicine and next-generation clinics. ‘AI is the biggest technological breakthrough of our lifetime.’
From Augmented Reality to Robotics, and all exciting technologies in between, the Taiwanese companies present at Medica always manage to impress visitors with health tech innovations. In co-operation with the Bureau of Foreign Trade (BOFT) of the Taiwanese Ministry of Economics and the Taiwan External Trade Development Council (TAITRA), 20 elite healthcare companies put on display their…
September: Basel, Switzerland: ‘Intelligent Health 2019’, a conference dedicated to artificial intelligence (AI) in medicine, underlined the growing interest by the rising number of attendees – 1,400 in 2018, its first year, to 2,027 this year. With examples of AI use from around the world, the common thread throughout was how AI can serve humankind by enabling better understanding of…
Health tech Made in Taiwan is among the mainstays of every MEDICA; this year’s fair is no exception. In co-operation with the Bureau of Foreign Trade (BOFT) of the Taiwanese Ministry of Economics and the Taiwan External Trade Development Council (TAITRA), 20 world-class healthcare companies are demonstrating innovative medical solutions based on national advances in Artificial Intelligence…
More dynamic, more digital, and more networked – the medical industry is striding into the future. Thus, it’s wise to keep a finger on the pulse, be informed and deepen communications with specialists. At Medica, the presence of start-ups has grown annually, largely due to the special attention they receive. This year, 36 out of several hundred of these mostly young and digitally-driven firms…
From an initial focus on innovative manufacturing, in-house ICT technologies drove production efficiency and quality. Today, Taiwan has advanced to become a leader with its "Asian Silicon Valley" concept. The government also wants to further strengthen Taiwan's key position by independently developing medical products that meet the high demands of international markets – at…
COCIR was proud to celebrate its 60 years of bringing the benefits of innovation in medical technology to society and patients. To celebrate this landmark, more than 100 healthcare stakeholders from the European institutions, along with medical technology industry leaders gathered for a Gala event and Conference in the Autoworld Museum in Brussels.
Consider the diagnostic and therapeutic possibilities resulting from access to pertinent data from thousands of anonymized patient medical scans. What new patterns, options, or evidence for actionable insights could be derived from all this information? Cloud-based data is easily accessible via computer, smartphone, or tablet and is a valuable complement to the insights from the millions of…
Medical and professional leaders in radiology overwhelmingly believe artificial intelligence (AI) will be the most positive development for their sector and their professions in the coming decade, according to a report by the British Institute of Radiology (BIR) published today.
Although some people foresee artificial intelligence (AI) easing medical workloads, many challenges arise before that dream can begin. Dr Felix Nensa and Dr Bram Stieltjes described such hurdles in a session held during a SITEM School Symposium in Bern, Switzerland. Whilst AI has potential, actually delivering that asset in to routine medical practice remains a major challenge.
Chemical analysis of blood samples, combined with an artificial intelligence program, could speed up the diagnosis of brain tumours, according to research presented at the 2019 NCRI Cancer Conference. Brain tumours tend to have ambiguous symptoms, such as headache or memory problems, and a brain scan is currently the only reliable way of diagnosing them. Researchers say their test, which works by…
Dr Clemens Martin Auer knows ‘disruption is an ambivalent concept’. Auer is president of the European Health Forum Gastein (EHFG), in which healthcare policy is discussed annually from a European perspective: ‘For some, disruption is the promise of necessary change whilst for others it means suspicions and fears.’ The term – a synonym for ‘transformation’ but also for…
Standardisation of robotic surgery procedures is seeing increased usage and improved outcomes for patients and could also play a role in helping with the overall well-being of surgeons in terms of, for example, ergonomic benefits that could reduce repetitive strain injury (RSI) and back conditions. Richard Kerr from the Royal College of Surgeons (England) recently chaired the RCS Commission on…
How will artificial intelligence (AI) affect continuing education and management in radiology? This issue was discussed by an expert panel at the ESR AI Premium meeting in Barcelona. Continuing education – It must be clear what radiologists need to learn about AI; one way to go could be to give it more space in the training curriculum, according to Elmar Kotter, deputy director of the radiology…
A robot-controlled laboratory where decisions are made by artificial intelligence will change the way new drugs are discovered, says a leading researcher. The engineer leading a project to develop a prototype "lab-bot" says it will reduce the time it takes to identify and synthesise molecules for new medicines – a process that can take years as scientists refine the shape and property…
Experts in the use of artificial intelligence (AI) in radiology, from many of the world’s leading radiology, medical physics and imaging informatics groups, published an aspirational statement to guide the development of AI in radiology. The multi-society statement focuses on three major areas: data, algorithms and practice. Simultaneously published in the Journal of the American College of…
Scientists at ETH Zurich and the University of Zurich have used machine learning methods to improve optoacoustic imaging. This relatively young medical imaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer. However, quality of the rendered images is very dependent on the number and…
The Queen Mary University of London team applied an artificial intelligence (AI) technique to analyse the heart MRI images of 17,000 healthy UK Biobank volunteers. They found that genetic factors accounted for 22-39 per cent of variation in the size and function of the heart’s left ventricle, the organ’s main pumping chamber. Enlargement and reduced pumping function of the left ventricle can…
Humans are inherently risk-averse: We spend our days calculating routes and routines, taking precautionary measures to avoid disease, danger, and despair. Still, our measures for controlling the inner workings of our biology can be a little more unruly. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a new system for better…
Artificial Intelligence (AI) is like a huge blanket that can cover anything from innocuous chess computers to robots which, depending on your viewpoint, could save, oppress or obliterate humanity. However, not every jar labelled AI contains AI. So what is intelligence and can it be created artificially, synthesised like a nature-identical flavouring substance?
As a member of the European Congress of Radiology (ECR) planning committee Professor Elmar Kotter suffered no serious challenge in pinpointing subject matter for the IT sessions. More than 300 submissions were received on artificial intelligence (AI). From the presentations, Kotter, Professor of Radiology and Senior Consultant at the Clinic for Diagnostic and Interventional Radiology, at the…
Amid ever-growing demand for services, significant challenges face the pathology workforce in the years ahead but – there are also good opportunities. With advances in technology and the advent of artificial intelligence as a decision-making support tool, Professor Jo Martin, President Royal College of Pathologists (RCPath) in the UK, believes there remain opportunities for pathology to play a…
The Geneva University Hospitals (HUG) is the first European university hospital to utilize IBM’s artificial intelligence (AI) technology to help uncover therapeutic options for cancer patients. HUG will use the IBM Watson Health’s precision oncology offering, Watson for Genomics, an AI tool that enables oncologists to provide patients with more personalized, evidence-based cancer care. Using…
Healthcare is going digital worldwide at an incredibly rapid pace. More and more applications for prevention, diagnostics and therapy are being made into apps (with matching hardware) for smartphones and tablets or are even available as wearables for direct use on the body. Digitalisation is also striding forward in Germany, where doctors, therapists and patients still take a fairly analogue…
Technology developed using artificial intelligence (AI) could identify people at high risk of a fatal heart attack at least five years before it strikes, according to new research funded by the British Heart Foundation (BHF). The findings are being presented at the European Society of Cardiology (ESC) Congress in Paris and published in the European Heart Journal. Researchers at the University of…
Uwe Joseph Schoepf, Professor for Radiology, Cardiology and Paediatrics and Director of the Department of Cardiovascular Imaging at the Medical University of South Carolina, discusses areas of application for AI-based radiology. The cardiothoracic imaging expert and his team were largely involved in the development and early clinical trials of the Siemens AI-Rad Companion Chest CT, a software…
La Fe University and Polytechnic Hospital in Valencia, Spain, is coordinating EU-funded program PRIMAGE, which uses precision information from medical imaging to advance knowledge of the most lethal paediatric tumours, by establishing their prognosis and expected treatment response using radiomics, imaging biomarkers and artificial intelligence (AI).
On the centenary of his birth, Mark Nicholls reflects on the life and legacy of Nobel laureate Sir Godfrey Newbold Hounsfield, the man who pioneered computed tomography. It was a discovery that came from a moment of inspiration during a country walking holiday; the idea that one could determine what was inside a box by taking X-ray readings at all angles around the object. From that, Sir Godfrey…
The 2nd Medical Japan 2019 Tokyo – the international Medical and Elderly Care Expo in Tokyo – will be held from October 23-25, 2019 in Makuhari Messe, Japan by Reed Exhibitions Japan Ltd. The scale of the second Tokyo edition is expanding with 610 exhibitors, and this growth is gathering great attention from the industry. In this edition, innovative products with cutting-edge technologies,…
In a symposium on September 9, 2019, the School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, provides an overview about current trends in artificial intelligence (AI) in medical imaging. From 8.30 to 17.00, participants in sitem-insel, Freiburgstraße, Bern will learn about the principles of AI as well as innovative applications in the…
Pathologic-radiologic correlation is already utilised in various settings as a tool to assess the interpretive performance of imaging studies and identify radiologic features corresponding to histologic findings. However, correlative assessment is currently limited mainly to the fields of research and quality assurance, and is generally not a routine element of the radiologist or pathologist…
Artificial Intelligence (AI) is destined for a significant role in assessing histology data but the key to developing the necessary algorithms lies in data quality – rather than the quantity, according to Professor Jens Rittscher. He also warns that we are some distance from seeing AI replacing human pathologists in this scenario, primarily because presently the risks of automated…
At the 71st AACC Annual Scientific Meeting & Clinical Lab Expo, Siemens Healthineers features in Booth #1039 its innovative IT solutions to combat the laboratory’s staffing challenges, limited budgets, and the increasing complexity in sample management and testing. “We will be demonstrating the power of our broad IT offerings and how the data they deliver, and artificial intelligence, can…
The School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, offers a new Certificate of Advanced Studies (CAS) in Artificial Intelligence in Medical Imaging. The course aims to equip Medical Doctors (MDs) with the necessary skills to take a leading role in the AI-driven transformation of medicine. The course program was developed for medical…
Since the microprocessor entered the medical laboratory we have watched how those responsible also have been confronted with the errors in the software supplied with it. Obviously, such errors are to be avoided or found and corrected before use. Nonetheless complete error-free software remains a dream. ISO 15189:2012 makes it obligatory for the manufacturer to identify errors in the form of…
The need to effectively address HCI – Human-Computer Interaction – is emerging as the key challenge in creating a productive and efficient laboratory of the future. The subject was examined in detail by Andreas Schuller from the Fraunhofer Institute for Industrial Engineering, during a conference in Barcelona, which brought together more than 1,000 scientists and technologists.
Clinical trials are a critical tool for getting new treatments to people who need them, but research shows that difficulty finding the right volunteer subjects can undermine the effectiveness of these studies. Researchers at Cincinnati Children’s Hospital Medical Center designed and tested a new computerized solution that used artificial intelligence (AI) to effectively identify eligible…
Scientists have developed minute flexible robots that could help revolutionise drug delivery in the future. These ‘microrobots’ are so small that they could be ingested, or inserted into human veins to deliver drug therapies directly to diseased body areas.
Siemens Healthineers, University of Missouri System (UM System) and University of Missouri Health Care (MU Health Care) launch "Alliance for Precision Health.” The ten-year collaboration will bring the partners’ expertise together to improve health care in Missouri State, promote education and launch research initiatives. Among other things, the clinic receives the only 7 Tesla MRI…
Royal Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips’ IntelliSpace Enterprise Imaging Solution, including Illumeo with adaptive intelligence. CHRU de Nancy is a public health institution that provides 1.2 million consultation visits and inpatient stays each…
Treating physicians need information about the molecular subtype of the tumor if they are to provide targeted therapy for colorectal carcinoma. A research team from University Hospital Zurich and the University of Oxford have now developed a method to predict the molecular classification of colorectal cancer from digital pathology slides.
In view of the advent of personalised medicine and holistic therapy many experts predict the end of healthcare as we know it. However, in many places it is ‘healthcare business as usual’. In our interview, Dr Christoph Zindel, President Diagnostic Imaging at Siemens Healthineers, explains where he sees radiology bridging the gap between symptom-centred treatment today and the systemic…
During a European Society of Hybrid, Molecular and Translational Imaging (ESHI) session at ECR 2019, three speakers discussed the role of artificial intelligence (AI) in hybrid imaging. While AI and machine learning is supporting clinicians using hybrid techniques such as PET/CT, MR/PET, or ultrasound and CT, challenges remain in ‘training the machines’ to add value to radiologists’ and…
Epilepsy affects around 70 million people worldwide, making it the second most common neurological disorder after migraine. Epileptics bear a terrible burden because they experience recurrent seizures that strike without warning. Their symptoms range from brief suspension of awareness to violent convulsions and sometimes loss of consciousness. Epilepsy is also responsible for numerous deaths –…
Cancer - this diagnosis affects almost every second German at some point in his life. It is the second most frequent cause of death in Germany. But the earlier the disease is diagnosed, the greater are the chances of surviving it. A team of researchers from Jena present a groundbreaking new method for the rapid, gentle and reliable detection of tumors with laser light at the leading trade fair…
As reporting workload for pathology departments continues to rise rapidly, artificial Intelligence solutions are set to play an increasing role in daily practice. In many pathology departments the annual number of cases has risen by around 2-4% but the slides produced has doubled in the last decade. Histopathologist Professor David Snead identified this phenomenon within his own centre in the…
A researcher has created an objective model that classifies the degrees of the iridocorneal angle, a key element for assessing the severity of glaucoma. With this model, ophthalmologists will have a tool to help patients make a decision when considering surgery.
A new deep learning algorithm, which demonstrates the potential of artificial Intelligence (AI) to support pathologists, has been developed for PD-L1 scoring in tumour cells and immune cells in urothelial carcinoma samples. Speaking at the Digital Pathology and Artificial Intelligence Congress in London last December, Dr Michel Vandenberghe, from AstraZeneca, outlined how PD-L1 expression level…
FUJIFILM displayed its evolving portfolio of medical informatics and Enterprise Imaging innovations, by presenting REiLI, Artificial Intelligence (AI) Medical Imaging initiative at HIMSS & Health 2.0 Conference.
Humanity is not doomed to submit to machines as in the Terminator movies – or at least not yet. Artificial intelligence (AI) systems are still far from capable to imitate the human brain in all its complexity. Yet there is no doubt that AI will have a global and huge impact, particularly for professionals such as radiologists, who should look at AI critically and focus on the many new…
Doctors could soon get some help from an artificial intelligence tool when diagnosing brain aneurysms—bulges in blood vessels in the brain that can leak or burst open, potentially leading to stroke, brain damage or death.
‘Hello, John? You are about to suffer a heart attack – please come to the hospital immediately!’ Will we, one day, be collected by emergency doctors even before we’re ill? If it was up to some AI experts at Medica, this could be the case – soon. Some obstacles must yet be overcome to achieve perfect AI predictions. Yet, during Medica, some IT experts ventured to gaze into a crystal ball.
Using artificial intelligence (AI) to push development of imaging biomarkers shows great promise to improve disease understanding. This alliance could be a game changer in healthcare but, to advance research, clinical validation and variability of results must be factored in, a prominent Spanish radiologist advises. In clinical practice efforts are already ongoing to apply AI to obtain new…
Spanish healthcare AI company QUIBIM announced that its AI-powered Chest X-Ray Classification tool has received CE certification. The company already obtained the class IIa CE mark earlier this year for the imaging biomarker analysis algorithms, the zero footprint DICOM viewer and the platform within the QUIBIM Precision platform, becoming the first Spanish firm to ever receive the clearance.
A team of seasoned European healthcare entrepreneurs announced the foundation of MCG motion capture GmbH (MCG), the world’s first precision motion analysis and digital care company. The team combines decades of expertise in the medtech, digital health and biopharmaceutical industry, including big data integration, analysis for decision support, and long-standing experience in clinical trials as…
Artificial intelligence clinics and rehab bikes, exoskeletons and stylish protections masks – healthcare in Taiwan has many faces and facets as the international medical & healthcare exhibition Medical Taiwan in Taipei will show from 27 to 30 June 2019. We visited participating companies and hospitals to give you a sneak preview of some of the highlights that might well create a buzz in…
The 35th Korea International Medical & Hospital Equipment Show (KIMES) again proved to be a great success. Over 73,000 visitors from 96 countries entered the show in Seoul, attracted by, for example, the latest developments in AI-assisted diagnostics, robotic surgery and rehabilitation, healthcare solutions for the aged and comprehensive smart hospital systems. The KIMES motto, ‘Meet the…
Digitalization offers great potential for hospitals: diseases can be detected earlier, internal processes more efficiently organized, health expenditure reduced and patients better cared for. Artificial intelligence, robotics, sensor technology, big data, additive manufacturing or augmented reality - the technologies for this have long been available.
Today, on the occasion of the international DNA day, imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, and its partners revealed their Genome Analytics Platform (GAP) platform, a unique platform that can perform a full genome analysis of 48 samples in only 48 hours and at an acceptable cost. The platform paves the way to genome sequencing as a daily…
Digital pathology can gain huge benefits from rapid image search and the effective extraction of knowledge from large medical archives via artificial intelligence (AI). It facilitates identification of anatomical and pathological similarities, significantly enhances the clinical workflow, and ultimately paves the way for more informed diagnosis and better patient outcome. Effective archive…
Digital pathology, combined with the power of Artificial Intelligence (AI), is one of the most promising fields for the delivery of precision medicine. In the first keynote address for the 5th Digital Pathology & AI Congress (Europe) held in London last December, Professor of Pathology, Marilyn Bui, focused on how digital pathology is impacting on precision medicine. During her address,…
Hackers can access a patient's 3-D medical scans to add or remove images of malignant tumors, thus placing patients at risk of misdiagnoses. The new study, published by Ben-Gurion University of the Negev cybersecurity researchers, showed that the altered scans successfully deceived both radiologists and artificial intelligence algorithms used to aid diagnosis. A 3-D CT (computerized…
Radiologists have not ended talk about artificial intelligence and machine learning but, rather than fear for the future of their profession, they themselves must decide how that should be, an eminent expert Dr Woojin Kim warned ECR delegates in Vienna in March. Two years in discussion and the hype around artificial intelligence (AI) is far from fading. Interest has never been higher, and the…
Tumours change over time – and not only in size. They also evolve genetically, mutate and spread through equally diverse metastases. Each is unique and present with a more or less complex structure, but rarely as a unified entity. Characterising them from A to Z and from detection to neutralisation remains a challenge for modern medicine.
The concept of artificial intelligence (AI) has been touted as an important aid for healthcare for at least adecade. However, despite years of research and major technical and scientific advances we are only at the beginning of its use in a medical environment. For AI to function correctly huge amounts of relevant data need to be accessible to its algorithms. France is conscious of being behind…
Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. “This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy,” said senior author John H. Gilmore, MD, Thad and Alice Eure…
Scientists put AI systems to the test und provide a glimpse into the diverse “intelligence” spectrum observed in current AI models.
Carestream Health has signed an agreement with Royal Philips to sell its healthcare information systems (HCIS) business to Philips. This unit includes imaging IT solutions to multi-site hospitals, radiology services providers, imaging centers and specialty medical clinics around the world. The business has developed strong customer relationships in attractive, high-growth healthcare segments and…
The professionals we all rely on to keep us healthy, they rely on X-Ray imaging systems empowered by flat panel detectors and software solutions provided by Thales. Our solutions offer superior accuracy and advanced image processing to help image interpretation while decreasing radiation exposure. They also include a variety of innovative features that simplify the daily workflow of healthcare…
A new radiomics study could help unlock one of the more challenging issues facing thoracic radiologists. Distinguishing non-small cell lung cancer from benign nodules is a major challenge due to their similar appearance on CT images. Now, however, researchers from Case Western Reserve University in Cleveland, Ohio, have used radiomic features extracted from CT images to differentiate between…
Artificial intelligence (AI) continues to drive radiologists’ discussions. Among them, Associate Professor Georg Langs, head of the Computational Imaging Research Lab (CIR) at the University Clinic for Radiology and Nuclear Medicine at the Medical University of Vienna, believes: ‘The evaluation of patterns in data from imaging examinations and clinical information about patients using machine…
This is a 20th anniversary year for Fujifilm’s Synapse, the world’s first web- based PACS. Today, Synapse 3-D offers advanced 3-D rendering in the Synapse PACS Viewer to perform fast, accurate extractions, stenosis measurements, brain perfusion CT, MRI, and more, the company reports. The Fujifilm Healthcare IT platform includes a comprehensive medical informatics and enterprise-imaging…
Radiologist Alexis Kelekis, Associate Professor of Interventional and Musculoskeletal Radiology at Attikon University Hospital, Athens, speaks about his work and developments in merging scans and techniques to gain greater accuracy in diagnosis and planning. The benefits of fusion imaging are widely acknowledged. Favoured in clinical practice by radiologist Alexis Kelekis, he explained: ‘The…
White matter on the brain is a difficult subject. Even the terminology is varied, making differential diagnosis complex. An understanding of prevalence and of the tools available to facilitate the diagnosis of individual diseases is important, Dr Gunther Fesl, radiologist at Praxis Radiologie Augsburg, explains.
The topic of artificial intelligence (AI) was omnipresent at RSNA2018, the annual meeting of the Radiological Society of North America. From the opening presidential address, throughout scientific sessions and educational presentations, to the vendors’ technical exhibition, around 53,000 attendees learned about pioneering new products, research, plus challenges and opportunities to implement…
New medical software which overlays tumour information from MRI scans onto ultrasound images is helping to improve detection of prostate cancer by guiding surgeons as they conduct biopsies. Developed at University College London (UCL), the software is deployed via a system called SmartTarget and embraces artificial intelligence (AI) to use both systems in tandem to enable surgeons to pick up…
Technological change is a major part of change management in radiology and it is inevitable. Artificial intelligence (AI) has slipped into every area of life including the hospital, and is already making decisions in radiology systems. The good news is that radiologists could win on two fronts, provided they play their cards well, a leading USA radiologist told delegates at a recent congress in…
AI algorithms are making their way not just into diagnostic workstations, but will also in future be found in the diagnostic methods themselves. Prof. Mathias Goyen, Chief Medical Officer Europe at GE Healthcare, discusses AI algorithms in radiology. "According to a study by the consultancy firm Accenture, the estimated annual market volume for AI applications in healthcare in the USA will…
Today the impressive development of drones by some people is happily regarded as the pinnacle of digitalisation in healthcare. Some groups are testing whether drones can quickly and safely deliver defibrillators to patients in need or whether they can transport laboratory samples or blood products. These developments catch lots of attention, but PD Dr Dominik Pförringer, trauma and orthopaedic…
Researchers have created a new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer. The artificial intelligence software, created by researchers at Imperial College London and the University of Melbourne, has been able to predict the prognosis of patients with ovarian cancer more accurately than current methods. It can also…
Currently many researchers and experts assume that the next great socio-economic revolution will include a completely new definition of health and how we define illnesses and therapies. “Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective,” Professor Harald Schmidt, head of the Department of Pharmacology and Personalised…
Several research groups at Berlin Institute of Health (BIH) are working on digitally combating cancer. The main goal is to combine and jointly evaluate existing information. With 500,000 new cancer cases every year in Germany alone, it is worthwhile comparing experiences with different diagnostic and treatment methods, thus allowing more patients to benefit from the most promising approaches. In…
Pete Valenti, Hologic’s division president of breast and skeletal health solutions, talks about how AI is driving innovation in breast health technology. Underpinning that evolution more recently has been the acquisition of two organisations – digital specimen radiography specialists Faxitron Bioptics and BioZorb marker manufacturer Focal Therapeutics.
How can we detect the first signs of disease as early as possible? Could closer investigation at the cellular level help to quickly prevent disease progression through appropriate treatment? The European Union is now investing a million euros over a one-year period to devise the plan for a fundamentally new approach to understanding the constant changes within cells and their relationships to one…
In his talk at the Garmisch Symposium, entitled “MRI in 5 minutes – Dream or Reality?” Dr. Daniel Sodickson of the New York University School of Medicine will give attendees a preview of the MR scanners of the future, which he likens to self-driving cars. Sodickson — a professor and vice chair for research in the department of radiology at NYU, a principal investigator at the Center…
Longer hours, more demanding working practices, complex cases and increased administration are taking their toll on physicians as growing numbers, across a range of specialties, report signs of burnout. All this despite technological advances such as artificial intelligence and machine learning to aid diagnosis, read and interpret images, improve workflow and enhance decision-making. Recognised…
Jhy-Wey Shieh sees the link between Taiwan and Germany as obvious: ‘The word “trade” – of central importance for Medica – starts with “t” for Taiwan and contains “de” for Germany – there is no better way to put it.’ Even though the Taiwanese ambassador’s linguistic journey was not to be taken too seriously, this year’s presentation from the Taiwan External Trade…
As mammals age, their sense of smell deteriorates. In a study published in the journal ‘Cell Reports’, an interdisciplinary research team at Helmholtz Zentrum München and the University Medical Centre Mainz investigated why this is the case. For their study, the researchers tracked the development of stem cells in the brains of mice using what are known as confetti reporters. They then…
A new cardiac ultrasound solution is harnessing the power of anatomical intelligence to offer greater diagnostic confidence to clinicians. New EPIQ cardiac ultrasound solutions launched by Philips during the 2018 ESC Congress in Munich, have been designed to simplify workflow The CVx platform which, the firm reports, includes higher processing power, improved image clarity and sharpness, and more…
Today, artificial intelligence (AI) can be found everywhere: in our cars, our smartphones and even our working environments. AI has many areas of application, including in the healthcare sector. AI will change the interaction between doctors and patients, but most patients won’t even know it’s involved. That’s because improving the patient experience, helping to increase productivity,…
Artificial intelligence (AI) will increase efficiency and improve quality as well as clinical outcomes – and thus strengthen rather than weaken the role of radiologists, said Dr Joon Beom Seo at ECR 2018. A spectre is haunting radiologists – the spectre of artificial intelligence. Is AI about to replace radiologists? Wrong question,’ declared radiologist Dr Joon Beom Seo, professor at the…
Using artificial intelligence, metabolic brain changes can be identified earlier leading to timely diagnosis and intervention of Alzheimer’s disease.
Leeds Teaching Hospitals NHS Trust and the University of Leeds have announced a critical milestone in going digital, by scanning every glass slide they produce. The milestone represents a major step towards achieving faster and accurate diagnosis for cancer patients in the future. The Pathology Department, located in St. James’ Hospital in Leeds, is one of the largest in the UK processing over…
With Artificial Intelligence (AI) able to deliver diagnostic advances for clinicians and patients, the focus has shifted towards ensuring the technology is used in an ethical and responsible way. As evidence emerges of a gap in research on ethical deployment of AI, Dr Gopal Ramchurn is embarking on a three-year research project that will look at setting parameters for AI usage, with a key aspect…
Researchers are using artificial intelligence to reduce the dose of contrast agents like Gadolinium that may be left behind in the body after MRI exams, according to a study presented at the annual meeting of the Radiological Society of North America (RSNA).
New 7-Tesla MR methods could potentially shed light on cardiomyopathies’ principles, according to a leading French radiologist who also stresses the importance of teamwork between radiologists, cardiologists, surgeons and anaesthesiologists. Morphologic and dynamic information of the myocardium is achieved with millimetric resolution (0.9x0.9 square mm). Strong intensity variations…
Built as the first commercially available scanner to deliver truly digital PET, the Vereos PET/CT, from Philips, offers revolutionary Digital Photon Counting technology. The science behind this scanner evolution is ‘quite complicated’, agrees Piotr Maniawski, Director of Clinical Science Nuclear Medicine at Philips Healthcare, yet the improved performance is significant, particularly when…
Using technology similar to the type that powers facial and speech recognition on a smartphone, researchers at the University of North Carolina Lineberger Comprehensive Cancer Center have trained a computer to analyze breast cancer images and then classify the tumors with high accuracy. In a study published in the journal NPJ Breast Cancer, researchers reported they used a form of artificial…
Growth! New hardware, new software, richer imaging, enhanced communication and image transfer plus artificial intelligence (AI) are all pushing the pace that medical organisations, radiologists and device manufacturers must run to keep up. We spoke with Dr Erik Ranschaert, President of EuSOMII, about today’s changing face of radiology.
Here at Medica, the Taiwanese start-up Maisense is demonstrating Freescan, its artificial intelligence (AI) based solution to screen for stroke through the early detection of atrial fibrillation (AFib). Speaking of the system’s aims, Maisense summed up this huge health problem. ‘Every four minutes, someone dies of stroke. Thirteen percent of these are classified as haemorrhagic stroke. When…
The number of surgical interventions in Germany over the last ten years has increased by around 30%, but it would be wrong to talk of a heyday – mainly due to a lack of young talent, says Prof. Dr. Jörg Fuchs. The president of the German Society of Surgery (DGCH) and director of the Clinic and Polyclinic for Paediatric Surgery and Paediatric Urology at Tübingen University Hospital talks about…
Recent developments in artificial intelligence (AI) created a veritable hype. However, that initial awe was increasingly mixed with apprehension about the potential effects of AI on healthcare. In radiology, bleak dystopias are conjured up with AI replacing the human radiologist. A scenario that Dr Felix Nensa considers premature, to say the least.
A world where machines can be controlled by thought alone – such is the promise of so-called brain-computer interfaces (BCI). BCIs are both hardware and software communication systems that read brain and nerve signals, convert those into electrical signals and translate human thoughts into machine commands. Developers of BCIs rely on artificial intelligence, neural network models and big data…
Cardiologists in the UK are trialling an artificial intelligence (AI) system that will help better diagnose heart disease. Devised by researchers from the University of Oxford, it can predict heart disease and cardiac events from ultrasound stress test images with initial results showing that the AI system is far more accurate than conventional techniques. Paul Leeson, Professor of Cardiovascular…
Royal Philips has been leading two healthcare innovation projects that will receive government investment as part of major cross-sector collaborations with the NHS, academia and industry partners from the UK Government’s Industrial Strategy Challenge Fund, delivered through United Kingdom Research and Innovation (UKRI). A joint multi-million pound investment by government and industry partners,…
Standardised and well-structured data, as well as the definition of clear objectives, are indispensable prerequisites for artificial intelligence implementation into clinical processes. ‘Ask not what artificial intelligence can do for you but what you can do for artificial intelligence!’ This variation on John F Kennedy’s famous quote comes from Dr Ben Glocker, Senior Lecturer in Medical…
Often referred to as the ‘Achilles’ heel’ of histopathology, the sample entry has posed considerable challenges in pre-analytics for several decades. We visited the Munich-based lab automation start-up Inveox GmbH. Time-intense, highly manual processes in labs are expensive, error-prone and the most common reason for irregularities in cancer diagnoses. In Germany alone, every year hundreds…
Synergy is key to ensuring Artificial Intelligence (AI) can play a critical role in helping radiologists raise their game. Integrating AI with innovative platforms to optimise workflow and make diagnosis more efficient, whilst also creating more accurate reports, offers enormous potential benefits to patients, clinicians and hospitals, according to industry specialist Tomer Zonens, Worldwide…
'Image Computing, including image analysis, artificial intelligence, artificial neural networks und deep learning, is starting a revolution,’ says Dr Paul Suetens, professor of Medical Imaging and Image Processing at University Hospital Leuven. Artificial Intelligence (AI) is not new – research in this field was carried out as far back as the 1950s – but, whilst in the early days AI learnt…
As in many other countries, Belgium faces a significant shortage of health professionals – particularly pathologists to guarantee the diagnostic quality necessary for adequate therapeutic choice. A digital pathology platform can be a true ally; the Brussels Erasmus Hospital opted for that solution. Project manager Dr Ali Ramadhan shared his experience – the good, the bad and the ugly – at…
Imagine a first responder answering the call to a natural disaster, a house fire, or an active shooter incident where there may be multiple injuries and unknown casualties. The information the responder needs to fulfill the mission is immeasurable. When you also consider the volume of data they receive from other responders, dispatch, command centers, victims, and onlookers while receiving and…
The first successful surgery under anaesthesia occurred in the 1840s. Since then, people have been developing theories about what might be going on in the brain while a person is unconscious. Even after thousands of surgeries, researchers still don’t understand exactly which specific areas of the brain are responsible for transitioning into unconsciousness and back.
A pathology test that applies artificial intelligence (AI) to characterize tissue samples can accurately predict clinically significant prostate cancer disease progression following surgery, according to a study conducted at the Icahn School of Medicine at Mount Sinai.
The European Institute for Biomedical Imaging Research (EIBIR) has published its Strategic Research Agenda (SRA) for Biomedical Imaging. The agenda identifies current challenges and needs in healthcare, illustrating how biomedical imaging and derived data can help to address these challenges, in order to stimulate dedicated research funding efforts and mechanisms.
When two powerful products are combined, the outcome often becomes much more effective. One such proof is the digital pathology, where technology coupled with medicine. The introduction of technology has completely transformed the face of medical diagnosis, providing new hope to many sufferers. It has become essential to identify the cause of diseases to prevent them in the early stages to avoid…
Machine learning is increasingly helping radiologists to acquire faster and better quality images, and measure heart function. This is just the tip of the iceberg; artificial intelligence has far more to bring to the heart, explained Daniel Rueckert, Head of the Department of Computing at Imperial College London, during CMR 2018. Machine learning (ML) is becoming a valuable assistant for…
Neuroscientist Lynda Chin MD, Founder and CEO of Real-world Education Detection and Intervention, has little doubt: ‘Artificial intelligence to the rescue,’ she proclaimed in her keynote address at the Artificial Intelligence and Machine Learning Summit, held in Las Vegas this spring. ‘We need a system and analytics to interpret data!’ she urged, despite being well aware that building a…
Driving breast cancer screening compliance is an essential part of improving clinical outcomes, and one way to do this is to educate women about their breast density, advises Tracy Accardi, Hologic’s Global Vice President of Research and Development for Breast Health & Skeletal Solutions.
One of the challenges for every echocardiography lab is the technically difficult patient. Conventionally, labs use contrast agents to enhance endocardial border visualization. The application of contrast agents increases the exam time, resources and costs. Additionally, the use of contrast turns a previously non-invasive exam into an invasive procedure. Hitachi Healthcare has now developed a…
Using a new approach called 'reinforced learning', researchers have taught an artificial intelligence (AI) to responsibly choose the right amount of chemo- and radiotherapy for glioblastoma patients. The technique, which is insprired by behavioural psychology, has given the AI the ability to master the tightrope walk between effective tumor shrinkage and the medications' severe side effects.
A multidisciplinary team of researchers from the National University of Singapore (NUS) has developed an artificial intelligence (AI) technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly. Applying the platform towards drug resistant multiple myeloma, a type of…
Machine learning is adding a new dimension to pathology and already outperforming experts during some tasks, according to several speakers at the 14th European Congress on Digital Pathology (ECDP) who revealed up-to-date developments. However, whilst AI is set to herald a new future for digital pathology, Johan Lundin, associated professor for biomedical informatics and research director at the…
The digital revolution in healthcare in the United States is marching steadily forward, spurred by federal government regulations and financial incentives, by technological innovations, and by the necessities of increasing healthcare treatment efficiency, of lowering its cost and economic impact, and of elevating communications among providers, patients and payers to the norms of the 21st…
Artificial Intelligence (AI) and machine learning are poised to transform healthcare, potentially freeing practitioners across many disciplines from routine tasks and saving lives through efficient early detection. Offering insight into the health of both individuals and populations, these ’deep learning‘ algorithms have the potential to process vast amounts of data and identify warning…
Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin cancer. In a study published in the leading cancer journal Annals of Oncology, researchers in Germany, the USA and France trained a CNN to identify skin cancer by showing it more…
AI-based applications will replace radiologists in some areas, the physicist Bram van Ginneken predicts. ‘The profession of radiologist will change profoundly,’ predicts Gram van Ginneken, Professor of Medical Image Analysis at Radboud University Medical Centre. The cause is automatic image analysis by computers (first published in a paper in 1963) and deep learning.
Tracy Accardi, Hologic’s Vice President (Global R&D), spoke of the importance of innovation, tomosynthesis, artificial intelligence/deep learning and open dialogue with the radiology community. Hologic addresses a broad spectrum of gynaecological, perinatal, aesthetic, skeletal and breast women’s health issues. To enhance this approach, Accardi, explained the importance of working closely…
At the 28th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2018), Fast Track Diagnostics, a Siemens Healthineers company, launches a new molecular thermocycler, the Fast Track cycler, and the complementary new FastFinder software. The Fast Track cycler is a compact platform that enables laboratories of all sizes to implement molecular testing with simplicity and speed…
At the 2018 HIMSS Annual Conference & Exhibition, Siemens Healthineers showcases the Proactive Follow-up solution as part of its Siemens Healthineers Digital Ecosystem. The application prompts the appropriate physician to initiate a medically necessary response based on care gaps identified. For example, an incidental finding, an abnormality that appears in a radiology report intended for a…
The New Horizons Lecture at the RSNA annual meeting is a keynote address that looks to the future, and the inventor of a major innovation in magnetic resonance imaging (MRI) technology, Daniel K Sodickson MD PhD, did just that. His lecture entitled ‘A New Light: The Birth and Rebirth of Imaging’ looked back at how MRI has evolved and forward at what it will become.
Conventional chemotherapy in oncology is increasingly yielding to new procedures such as targeted therapy and immunotherapy. This results in changes for radiologists because new procedures require familiarisation with certain imaging to ensure that the treatment process is interpreted correctly.
Some time in the distant future artificial intelligence (AI) systems may displace radiologists and many other medical specialists. However, in a far more realistic future AI tools will assist radiologists by performing very complex functions with medical imaging data that are impossible or unfeasible today, according to a presentation at the RSNA/AAPM Symposium during the Radiological Society of…
Artificial intelligence (AI) technology and its role and future impact on the radiology profession was the dominant theme at RSNA 2017, whether in scientific presentations or in the technical exhibitions. Keith J Dreyer DO PhD addressed this subject head-on in his presentation ‘Healthcare AI – Radiology’s Next Frontier.’ Dr Keith Dreyer, vice chairman of radiology informatics and chief…
In the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. This will by no means replace radiologists, but rather help to meet the rising demand for imaging examinations, prevent diagnostic errors, and enable sustained productivity increases.
Researchers used machine learning techniques, including natural language processing algorithms, to identify clinical concepts in radiologist reports for CT scans, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published in the journal Radiology. The technology is an important first step in the development of artificial intelligence that could interpret scans and…
In April 2016 CEUS received the USA’s FDA approval. This year‘s RSNA Samsung Symposium ‘Contrast-Enhanced Ultrasound (CEUS): Innovations and a Problem-Solving Tool in Clinical Practice’ provided an opportunity to take stock. For European Hospital, Professor André Clevert, Director of the Interdisciplinary Centre for Ultrasound at University Hospital Munich, Germany, describes the current…
The tech world descended upon Las Vegas this week for the annual Consumer Electronics Show, and plenty of health IT’s biggest players were in attendance. While much of the discussion was on consumer-friendly health tools and novel digital interventions, there were still a handful of products and discussions between executives and entrepreneurs focused on healthcare’s largest roadblocks —…
Professor Jo Martin, the newly-appointed President of the Royal College of Pathologists in the United Kingdom, believes the National Health Service (NHS) is on the brink of embracing digital pathology more widely. A number of UK laboratories, he explained, are adopting digital pathology in histopathology – in line with some labs in Sweden and Holland, where it has become routine – and the…
3-D visualisation, augmented reality, automated tumour classification – today, the Republic of China produces cutting-edge medical technology and it’s a long time since ‘Made in Taiwan’ stood for inferior, copied products. Over recent years, this island state has successfully morphed into a productive and, above all, innovative manufacturer of medical technology available on the world…
Up to the early 16th century, essentially medical diagnostics was limited to uroscopy – the observation of a urine sample in a uroscopy flask with a candle providing light. In a visual examination the doctor would determine the colour of the urine as well as cloudiness and precipitates, followed by a smell and taste test. The information he gathered provided the basis of his diagnosis. 100…
GE Healthcare and NVIDIA announced they will deepen their 10-year partnership to bring the most sophisticated artificial intelligence (AI) to GE Healthcare’s 500,000 imaging devices globally and accelerate the speed at which healthcare data can be processed. The scope of the partnership, detailed at the 103rd annual meeting of the Radiological Society of North America (RSNA), includes the…
Professor Dr Thomas Kröncke, Medical Director of Diagnostic and Interventional Radiology at Klinikum Augsburg, has been dealing with liver diseases for 17 years. Talking to European Hospital he explains which diseases the liver tends to mask and why fatty liver has become a public health issue.
While there has been a lot of hype — and even fear — about the role deep learning (DL) and artificial intelligence (AI) play in radiology, the reality is that they are both potentially useful technologies that will add value to the specialty in a number of ways. "Deep Learning is not going to replace us," said Paul Chang, MD, of the University of the Chicago School of Medicine,…
During the Annual Meeting of the Radiological Society of North America (RSNA), held in Chicago, USA, Siemens Healthineers presents an innovative MRI application that helps to shorten the time it takes to perform comprehensive diagnostic exams of the knee. At the moment, a standard knee examination could take around 20 minutes. With GOKnee3D, a high-resolution diagnostic 3D knee exam can be…
Scientists are using Artificial Intelligence (AI) to support more effective breast cancer detection. The researchers at Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital (MGH), and Harvard Medical School, are using the machine learning system to predict whether breast lesions identified from a biopsy will…
Early adoption of image analytical tools and artificial intelligence (AI) are crucial if health systems across Europe are to see the full potential of digital pathology, according to leading expert Professor Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki. Although European institutions increasingly embrace digital pathology, he…
Every day we hear news about Artificial Intelligence (AI) impacting more and more aspects of our lives. Stories about autonomous vehicles would probably top a current list of AI news. With all the excitement coming with these promising AI technologies, we are also starting to understand the limitations. In a recent Las Vegas traffic accident involving an autonomous bus and a truck, the cited…
Automation continues to conquer healthcare, including diagnostic imaging. Christian Kollmann, Assistant Professor at the Centre for Medical Physics and Biomedical Technology, Medical University Vienna, Austria, highlights innovative software, fast hardware and artificial intelligence in ultrasound – today and in the future. Automated analyses are already supporting the diagnostic work-up. In…
Artificial Intelligence (AI) has enormous potential to revolutionise the delivery of healthcare, being able to remove the drudgery’ of routine tasks, join up fragmented care records, trigger alerts when abnormal results occur, speed-up the process of identifying clusters of patients by digging deep into electronic health records, and increase efficiency of healthcare staff resources.
Artificial intelligence (AI) has taken centre stage during the Medica Academy sessions. While talks focus on initiatives made in Germany, European Hospital took a look at Spain and spoke with Ignacio Hernández Medrano, a neurologist recently elected as one of the most influential people in healthcare (HC). At just 34 years old, Medrano has already founded two flagship AI projects, one of which…
The treasure trove of healthcare data waiting to be explored in German hospitals is immense and could provide invaluable insights. However, what about data security and privacy? Andreas Klüter, CTO of Empolis Information Management GmbH, a new business entry in healthcare IT, spoke with European Hospital about medical text mining and the need for ethics discussion.
After this year's successful 1st congress about Emerging Technologies in Medicine (ETIM) in Essen, the organizing committee sets the stage for the second edition in February 16/17, 2018. This year, the event is dedicated to the role of artificial intelligence and robotics in medicine.
‘In prenatal diagnostics, particularly in the first trimester, ultrasound continues to be the modality of choice when looking for malformations,’ says Professor Markus Hoopmann, deputy director of prenatal medicine and gynaecological ultrasound at the Women’s Health Clinic in Tübingen University Hospital. This case for ultrasound is significant because today fetal DNA that circulates in…
Carestream Health is demonstrating advanced imaging analytics software tools designed to enhance value in the delivery of medical care as part of its Clinical Collaboration Platform at the SIIM Machine Learning Showcase being held Sept 26-27 at Johns Hopkins Hospital in Baltimore, Md.
Agfa HealthCare celebrates 150 years of expertise and innovation at RSNA 2017, showcasing its contemporary solutions' direct impact on productivity and costs. Demonstrations of "Care You Can See" include highlighting the company's signature integrated platform approach to elevate medical imaging as network-wide assets throughout the continuum of care.
In the nineties Deep Blue, the famous chess computer, defeated Kasparow. Only a year ago Google’s Deepmind managed to master the ancient Chinese Go, known for its utmost complexity.
Certain members of Generation Y, who grew up alongside enormous information technology (IT) advances, now occupy decision-making roles. Meanwhile, generation Z is emerging into the continuing IT revolution; the digital world surrounds us.
Early adoption of image analytical tools and artificial intelligence are crucial if health systems across Europe are to see the full potential of digital pathology, according to a leading expert. While a growing number of European institutions are beginning to embrace digital pathology, Professor Johan Lundin remains concerned about the slow pace of progress. He acknowledges that more…
With MEDICA 2017 drawing ever nearer, Joachim Schäfer, Managing Director of Messe Düsseldorf GmbH, sets the stage with the following statement:
San Carlos Hospital in Madrid has undertaken a number of projects to promote artificial intelligence (AI) use in clinical practice. Dr Julio Mayol, Medical Director and Head of the Innovation Unit, explained these initiatives and the direction he wants to take in an exclusive interview.
The recipe for an exciting congressional session is simple: Take a controversial hypothesis, a proponent who defends this hypothesis and an opponent who argues against it.
Access, accuracy and efficiency are at the core of Samsung’s healthcare strategy, explained Insuk Song, Vice President of Product Planning, Healthcare and Medical Equipment at Samsung Electronics, during our exclusive European Hospital interview. Samsung, the Korean giant, is now proceding with its artificial intelligence (AI) deployment, notably with the S-Detect software to help ultrasound…
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide. The research has implications for the early diagnosis of serious illness, and medical intervention.
A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study presented at the 2017 American Thoracic Society International Conference. Sepsis is an extreme systemic response to infection, which can be life-threatening in its advanced stages of severe sepsis and…
In her keynote speech at this year’s Healthcare Information and Management Systems Society (HIMSS) gathering Ginni Rometty, Chairman, President, and CEO IBM, endorsed cognitive computing and its potential: ‘Cognitive is an era that could usher into a golden age if we shape it wisely.’
The Technion breathalyzer would give pathology groups and medical laboratories unprecedented ability to support physicians in diagnosing and treating cancers, chronic diseases, and other illnesses.
New state-of-the-art technology helps clinicians provide personalised pain relief
An international team of 56 researchers in five countries has confirmed a hypothesis first proposed by the ancient Greeks – that different diseases are characterized by different “chemical signatures” identifiable in breath samples. The findings by the team led by Professor Hossam Haick of the Technion-Israel Institute of Technology Department of Chemical Engineering and Russell Berrie…
A team of UCLA bioengineers has demonstrated that its technology may go a long way toward overcoming the challenges of treatment for acute lymphoblastic leukemia, among the most common types of cancer in children, and has the potential to help doctors personalize drug doses.
The power of computing grows more pervasive as it is increasingly integrated into everyday items within our immediate environment, as in smart toothbrushes, for example, or a vortex whistle for managing chronic lung function via smartphones. This September, scientists, developers and designers from around the world met in Heidelberg, Germany, for two parallel events: ACM International Joint…
Artificial intelligence and bioprinting will be the central topics of the "Emerging Technologies In Medicine" (ETIM) congress, to be held at the University Hospital, Essen, Germany, on 10-11 February 2017.
The billions of medical images taken and diagnoses made every year across the globe are as varied in quality, detail and structure as the situations in which they are obtained.
Big Data, automation, and artificial intelligence – no doubt, all these developments will have an impact on surgery. During our interview, Professor Hubertus Feußner, Head of the interdisciplinary research group ‘Minimally invasive interdisciplinary therapy intervention’ at the Technical University Munich, Germany, and Professor Christoph Thümmler, Professor for eHealth at Edinburgh…
Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed…
Cooperation on Artificial Intelligence complements its initiatives on Enterprise Imaging, Big Data and Clinical Analytics, to provide an e-Health platform for Integrated Care and Population Health Management.
CT angiography (CTA) is evolving from a morphological – anatomical – to a functional imaging modality. In the past two years, cardiac CT perfusion measurement techniques were launched that predict which lesion will cause a reduction in blood flow.
One thing is certain in big data discussions: Intelligent machines will change our world considerably. What is less certain is exactly how these changes will look. Although networked data processing offers many opportunities, its development is still in the early stages.
This year, the worldwide International Day of Radiology (IDoR) on 8 November is dedicated to paediatric radiology. Professor Erich Sorantin, Head of Paediatric Radiology at the University Hospital Graz (Austria) and IDoR coordinator for Austria is particularly pleased: “Only very few countries recognize paediatric radiology as a radiological sub-speciality. Now we have the opportunity to…
Painful insulin injections could become a thing of the past for the millions of Americans who suffer from diabetes, thanks to a new invention from researchers at the University of North Carolina and NC State, who have created a “smart insulin patch” that can detect increases in blood sugar levels and secrete doses of insulin into the bloodstream whenever needed.
Blood transfusions are avital part of medical care and yet the subject raises questions. ‘Blood transfusion should be restricted’, according to Professor Anders Perner, from the Institute for Clinical Medicine, Rigshospitalet, Copenhagen. ‘Blood transfusion could be more liberal’, says Dr Yasser Sakr, Senior Physician at University Hospital Jena. Debating their opposing views at the ISCEM…
Another patient in the final stages of heart failure has received an artificial heart at Nantes UniversityHospital Centre, according to Carmat, the manufacturer of the device. Report: John Brosky
Medicine as a profession has held a superior aloofness for many centuries, wary of losing its unique distinctiveness and esteem if ‘tainted’ with other professions.
Starting in the mid-1990’s, PACS technology revolutionised radiology departments. Now, some 20 years later, intelligent virtual assistant (IVA) technology is expected to do the same.
Medical technologies have maintained a leading position in European patent registrations for 15 years.
In the meantime, the Compamed Spring forum has become as much a part of the furniture as the Compamed in Düsseldorf - the leading international specialist trade fair for suppliers to the medical technology industry which has been held every year in November since 1992.
A new system might help to analyse unstructured clinical documentation, such as lab/pathology results, thus tapping a wealth of hidden information.
An artificial “brain” built by a 17-year-old whiz kid from Florida is able to accurately assess tissue samples for signs of breast cancer, providing more confidence to a minimally invasive procedure. The cloud-based neural network took top prize in this year’s Google Science Fair.
Millions of people suffer from mental health problems. Yet very few people can afford treatment. The cost of mental health care is prohibitive to men and women in today's economy, so while many people acknowledge that they can use mental health care treatments, few actually take advantage of it and even fewer have the means to do so.
The birth, in France, of its first baby to be conceived by artificial insemination on top of the selection of an embryo based on its blood, has sent new flames into the hot parliamentary debate over the reform of bioethics law.
Arne Larsson was only 42 years old when his heart began to falter. In the late '50s it was virtually a death sentence in Sweden. But Arne saw lived to celebrate the millennium. In 1958, he had become the first patient to receive an artificial pacemaker. He had received 26 of these devices before his death in 2001, aged 86.
The COMPAMED, the leading specialist international trade fair for suppliers to the medical manufacturing market, is held parallel to the MEDICA, the world's largest medical trade fair, each year and showcases the dynamism and innovative power of the medical technology sector. The COMPAMED 2008, High tech solutions for medical technology, will, with around 500 exhibitors from 30 nations, once…
Information in patients' records could benefit biomedical research in terms of understanding diseases and their treatments. The drawback is that those records contain confidential information that could identify patients. If that data has to be removed manually, the task is not only painstaking and therefore expensive, but also not foolproof.
As nosocomial, or healthcare-related infections (HAIs), continue to escalate in the US, and protocols to manage this problem remain complex and confusing, surveillance healthcare IT systems offer hope to gain control of the situation. These offer the potential for data to be uniformly collected, quantified, and assessed. How rapidly they will be implemented enough is unknown.
Heinrich Dräger's concept for the first Pulmotor was ahead of its time, for he was the first to choose a mechanical principle that could closely copy human physiology.
Professor Raimung Erbel, of the West GErman Heart Centre Esse, Duisburg University Hospital aobut the hot topics of this years´congress.
It occupies approximately the same space as one to three atoms.
With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.