Coronary artery disease causes more than 1.8 million heart attacks each year in Europe. In most cases, rehabilitation helps the patients to return to their everyday life. But what happens once the patients have left the rehab clinic?
A study highlights performance differences in computational pathology systems, depending on demographic profiles associated with histology images. The researchers also propose a way to fix this bias.
Generalist Medical Artificial Intelligence (GMAI) models pose a significant challenge to current regulatory frameworks. Experts discuss how regulation of these models could work in the future.
Stiffness in tissues can be a valuable indicator of cancer formation. Now, researchers have developed a microscopic probe to perform histology at the single cell level inside the human body.
Experts at Newcastle University have discovered artificial intelligence can be used to analyse medical imaging from CT scans, which is aimed at predicting survival in patients with laryngeal cancer.
A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.
Matching the right donor heart to the right recipient at the right time is a complex task. Now, experts point out how AI can provide unbiased decision-support for transplantation process.
Large language models like ChatGPT have become a go-to point for health information. However, a new study uncovers a vital weakness: The AI gets confused when faced with actual scientific evidence.
Osteosarcoma is the most prevalent malignant bone tumor. Now, researchers have developed a machine-learning model to predict the density of viable tumor cells after surgery and chemotherapy treatment.
Could a chatbot-like AI tool locate brain damage after a stroke? In a new study, large language model GPT-4 processed text from health histories and neurologic examinations to locate brain lesions.
Using ultrasound imaging to detect Covid-19 infections, a new automated detection tool could help doctors in the emergency room diagnose patients quickly and accurately.
In diagnostics, there used to be a hard divide between radiology and pathology, where methods were largely considered incompatible with one another. However, to pave the way for next-generation diagnosis, Professor Regina Beets-Tan urged both sides to come out from their trenches and appreciate the synergies the fields have to offer. In her presentation at the European Congress of Radiology (ECR)…
Radiologists and AI don’t always work well together: New research finds that the benefits of using AI tools appear to vary, boosting performance of some clinicians, but hurting others'.
Researchers have developed the 'iKnife', a smart scalpel that is able to recognise healthy tissue from brain tumour in seconds as it cuts, with more than 98% accuracy.
Some year in this decade, AI tools will become ubiquitous within clinical laboratories. AI has the potential to increase the accuracy of laboratory testing and improve the quality and efficiency of operations and service of testing labs.
Warfarin is sometimes prescribed after heart surgery, but getting the dose right requires a personalised approach for each patient. A new AI tool is designed to help with this complex task.
Awareness of the importance of women’s health is on the rise, but many challenges remain: At ECR 2024 in Vienna, we spoke with Hologic about their continued evaluation of healthcare efforts for women. At the congress, the company also shared how AI could be used to mitigate the effects of medical staff shortage.
A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.
Pulse oximeters delivering poorer results in people with darker skin tones, underdiagnosis of cardiac conditions in women: some medical devices are not as fair as the ought to be, a new review finds.
Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.
Striking the balance between diagnostic efficacy and patient safety remains critical when utilising iodinated contrast media to deliver the best imaging outcomes. Currently, 300 million CT exams are conducted across the world every year, with 40% contrast-enhanced exam. While playing a crucial role in diagnosis and treatment of disease, CT expert Efthimios Agadakos believes the medical profession…
This February, the Norwegian Institute of Public Health officially launched the ‘Joint Action on cancer and other non-communicable disease prevention project‘ (JA PreventNCD). In the four-year-initiative, 22 EU member states plus Iceland, Norway and Ukraine have joined forces to combat the increasing burden of non-communicable diseases (NCDs) across national borders.
Artificial Intelligence has helped scientists reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated in the future.
As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it’s essential to consider the environmental impact of AI tools.
Hologic, Inc. unveils new research in artificial intelligence (AI) and offering innovative educational opportunities at the annual European Congress of Radiology (ECR) in Vienna, Austria.
PPE compliance, air and environment monitoring, antibiotic treatment decision support: AI has great potential to help prevent infectious disease outbreaks, a review at the upcoming ECCMID points out.
Cancer patients receiving radiotherapy run the risk of injuring their lungs. This can lead to conditions like pneumonitis and fibrosis. A new cell-by-cell model can help make treatments safer.
Highlights Fujifilm expands AI CAD software integration across its portfolio1An 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 acquisitionAI-CAD solutions supported include Lunit Insight…
Breast MRI is increasingly being used as a primary breast cancer screening exam for young women. It brings benefits in women with dense breasts, who are at an elevated risk of developing breast cancer. The technique is also being ordered as a supplemental screening exam following mammography or breast ultrasound for women of all ages at high risk. But use of breast MRI as a screening tool is…
In a new article, digital health experts discuss how medical data from citizens could be used for research in the future while respecting personal rights.
Researchers in Singapore have developed an AI-based software to assist in the early detection of breast cancer. Using thermal imaging, the program assesses the malignancy of a tumour.
Ahead of World Cancer Day on 4 February, scientists are revealing a cutting-edge artificial intelligence (AI) tool designed to help grade cancer, by analysing cell division.
AI technology holds promise for personalised cancer therapies. However, rigid and slow approval requirements impede its introduction, say experts – and point out how this might be changed.
United Imaging Healthcare Europe, a leading company in advanced medical imaging and radiotherapy equipment, proudly announces the introduction of its first Mobile Digital PET/CT solution in Italy, now fully operational in the Piacenza province under the auspices of the Azienda Unità Sanitaria Locale Piacenza (AUSLP) hospital.
Digital pathology brings benefits for sample management and optimisation, lets pathologists work on samples remotely: The UK Government has now approved the use of the technique for cancer samples.
Academic labs and biotech firms pioneer multi-cancer early detection with emerging technologies. Screening for multiple cancers with a simple blood or urinary draw could be a game-changer. Two research teams in particular have advanced the field.
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…
As a result from better living standards and medical advances, population longevity increases – a development which, paradoxically, current healthcare systems are ill-prepared for, Sir John Bell points out. The UK’s Our Future Health programme, which he chairs, exemplifies the paradigm shift to a prevention-centered healthcare approach.
AI models are highly capable in analysing tissue samples – as long as conditions are lab-perfect. Add a little contamination, however, and diagnostic accuracy goes out the window, a new study shows.
HighlightsExceptional performance for high speed tomo reading with up to 75%¹ faster image loadingNext-gen AI-powered tools enable workload reduction up to 63%² and up to 10%³ increased accuracy in diagnosisFull spectrum multimodal reading with motion corrected MRI data, subtraction calculation and advanced analytical toolsComprehensive double-blind reading management with…
HighlightsThe AI Orchestrator uses open APIs to support extensive Fujifilm and third-party algorithms, along with an advanced rules engine to bring your preferred algorithms directly within the SYNAPSE PACS workflow. The platform can also manage multiple algorithms for a single procedure, prioritise and flag results within the SYNAPSE PACS worklist, and store radiologist feedback on the AI…
Radiology is inextricably linked with AI – but what should the future of the technology be for medical imaging? Five leading societies have published a joint paper addressing the challenges.
With a combination of radiomics and deep learning, researchers aim to noninvasively determine lymph node metastasis before surgery. This could lead to more accurate diagnosis and treatment strategies.
An interplanetary title for a quite down-to-earth topic: The symposium "Men are from Mars, women are from Venus" at the EACVI congress (European Association of Cardiovascular imaging) launched into the differences between the hearts of men and women. While the speakers could firmly establish that both sexes share the same home world, variations in their cardiac anatomy warrant a more…
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…
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
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…
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…
HighlightsIntelligent NR is Canon's AI image processing option, developed using machine learning and an existing clinical image database to create a neural network for deep-learning. By identifying the characteristics of noise and applying the pre-learned neural network, a noise-reduced image is created. Key Features: High quality diagnostic images with reduced noiseNo noticeable loss of…
HighlightsUnique BioMatrix TechnologyBoost productivity with Turbo Suite, Simultaneous Multi-Slice, and Deep ResolveAdvanced free-breathing MRI examsGO technologies powered by artificial intelligence boost patient throughputSave energy consumption with Eco-PowerIncreased consistency and workflow acceleration with myExam CompanionAvailable with syngo MR XA50M software¹ Maximum gradient…
The climate crisis and AI – arguably two of the most hotly-debated and relevant topics of our time – share an intricate relationship: While computation of complex AI routines commands an immense carbon footprint, it is these algorithms that might be the very key to mitigate the effects of global warming. In a dedicated session at ECR 2023, radiologists explored the societal and environmental…
Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.
With the help of AI, a team at Caltech has designed a new type of catheter tube that impedes the upstream mobility of bacteria, without the need for antibiotics or chemical antimicrobial methods.
A feasibility study by Swiss researchers shows that AI systems are able to reliably predict therapeutic success in patients with borderline personality pathology by detecting emotions on their face.
Can AI help better evaluate images of brain tumours? A publication from German researchers on this topic presented at this years' ICIS conference won the Best Paper Award.
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.
A powerful tool, but the need for human judgment remains: In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of AI and machine learning to study and improve health.
Using AI and optoacoustic imaging, researchers have developed a new method to assess microvascular changes in the skin – and thus the severity of diabetes in the patient.
At the beginning of 2022, the Vienna General Hospital introduced DeepUnity, the next generation of PACS, which is used in clinics around the world today, taking the next step in image data management.
AI plays an increasingly important role in medicine – and this should also be reflected in medical curricula. New work from an international team suggests how this could be done.
US researchers discuss three blood-based liquid biopsies, namely circulating tumor cells, circulating tumor DNA and tumor-derived exosomes, as they relate to prostate cancer management.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.
Incidence of lung cancer among people who never smoked is rising. A new AI tool opens the door for opportunistic screening for this group, using existing chest X-rays in the electronic medical record.
AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…
Faster, more accurate and cost-effective testing: Experts outline the beginnings and evolution of “lab-on-a-chip” technology, and its benefits for advanced and next-gen operational platforms.
The world's leading medical trade fair MEDICA 2023 starts on Monday in Düsseldorf with more than 5,300 exhibiting companies from almost 70 nations and the kick-off event for the accompanying 46th German Hospital Day, which will be attended by Federal Health Minister Karl Lauterbach (via video link) and NRW Health Minister Karl-Josef Laumann. COMPAMED 2023 will take place parallel to MEDICA. As…
Ultrasound technology now plays a vital role in clinical diagnosis and management. Significant advances in point-of-care ultrasound (POCUS) have made it a versatile tool for assessment, diagnosis, and follow-up across various fields. New developments continue to expand its applications, improving patient care and outcomes.
Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.
Bioethics researchers call on medical societies, government leaders, clinicians, and researchers to work together to ensure AI-driven healthcare preserves patient autonomy and respects human dignity.
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
MEDICA trade fair (Nov 13-16, Düsseldorf) is a major event for start-ups entering the health sector. Hundreds of young developers seek business contacts for cooperation concerning funding, production, approval, marketing or sales of their products.
Researchers from Osaka University present a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva.
Philips and Quibim have signed a multi-year agreement to work on an integrated solution including an AI-based software to automate real-time prostate gland segmentation in MR images.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
A new research collaboration aims to develop a forward-looking AI application to detect gender-specific symptoms earlier and further reduce mortality from heart disease, especially among women.
Voice pathology detection (VPD) can detect abnormal vibrations in the vocal cords caused by conditions like cancer and cysts. Now, researchers have found a way to make the method more reliable.
Hardly a day passes without new headlines about ChatGPT, the AI-powered large language model, and its potential applications in healthcare. First results have been somewhat sobering after the initial hype, with the AI’s “hallucinations” often replacing scientific truth. Still, Professor Philip Moons is convinced that the chatbot might bring actual benefits to nursing and health science…
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery.
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
New research from Deusto University in Bilbao, Spain, provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
Today, on September 30th, the Human Brain Project (HBP) formally completes its 10-year runtime as an EU-funded FET Flagship. Three HPB lead figures recount what has been achieved.
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
A team from UNC has developed a steerable lung robot that can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.
Modern cancer therapies are tough on the tumours, but often, also on the heart of the patients. The “CARDIOCARE” project aims to reduce the cardiac burden of anti-cancer therapies through more patient-tailored treatment approaches. At the ESC 2023 cardiology congress, Professor Katerina Naka from the project’s consortium explained why older patients are at the highest risk of cardiotoxic…
From cancer to AI, from management to new medication: this year's Labmed Forum at MEDICA 2023 in Düsseldorf (November 13-16) once again features an exciting scientific programme.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
Experts from Brigham and Women’s Hospital have tasked ChatGPT to generate recommendations for cancer treatment – with some promise, but ultimately inadequate results.
When faced with an umfamiliar task, many people rely on the voice assistants in their smartphone to help them out. However, when it comes to CPR, these AI companions cannot always be counted on.
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
Machines are getting smarter every day, and companies across the world are discovering new ways in which they can use AI to significantly enhance engagement and customer experience. That is why decision-makers from pharmaceutical companies, hospitals and healthcare providers gather to network and discuss the latest innovations, as well as the potential for both AI and robotics, at Healthcare…
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
Centralized review of slides combined with telepathology has opened up the potential for a dramatic reduction in the waiting times for breast cancer patients to start their therapy. Jan Hudecek from the Netherlands Cancer Institute outlined his team’s framework for multi-centre clinical trials with centralized digital pathology review at the 9th Digital Pathology and Artificial Intelligence…
The 2023 AACC meeting saw two exciting AI applications in lab medicine: a predictive algorithm for MS, and machine learning for detecting contaminated lab samples.
Experts have highlighted how precision pathology using Artificial Intelligence can provide an effective alternative to molecular diagnostics. This, say a team from the Karolinska Institutet (KI) in Stockholm, Sweden, can also offer multiple advantages within a clinical setting and support risk stratification.
A new AI model finds that x-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk.
A new safety analysis finds AI-supported mammography analysis is as good as two breast radiologists working together to detect breast cancer, almost halving the screen-reading workload.
While screening programs for several of the commonest cancers are now well established, lung cancer screening has yet to reach anywhere near the same proportion of at-risk patients.
A new device, designed by MIT researchers, could detect breast cancer earlier. The scanner, which can be incorporated into a bra, could allow more frequent monitoring of high-risk patients.
AI can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, a new study finds.
With the introduction of digital pathology, the University of Queensland and Sullivan Nicolaides Pathology aim to provide significantly improved tests in terms of cost, quality and speed.
Under the impulse of the European Commission, the in vitro diagnostic industry is developing emerging technologies to implement sustainable practices in medical laboratories. As sustainability has been a growing priority of the European Union (EU) in the last decade, ‘the medical technology sector, particularly the IVD sector, must comply with European legislation in this field like all other…
Bioinformatics students in Spain have developed a mobile app capable of detecting in a matter of seconds three of the world's most common causes of vision loss and blindness.
VR and augmented reality are considered key technologies in healthcare, especially in nursing. Now, German researchers analysed the impact of smartglasses on patient interaction.
Robots and AI are expected to play a key role in nursing practice in the future. In this regard, researchers from Japan ask whether intelligent machines can replace humans as nurses.
Canon Medical announces the commercial availability of its two latest ultrasound systems, Aplio flex and Aplio go, in Europe, to meet the evolving needs of medical practitioners.
New research shows how AI can be used to fuse images from clinical X-ray CT and MRI scans to allow a clearer and more clinically useful interpretation of the images.
What will the future structure for artificial intelligence in health imaging across Europe look like? While the algorithms show great promise in collecting, storing, analysing, and using data to advance healthcare, delegates to a session on the topic at ECR 2023 in Vienna, also heard that it was important for the use of AI to move from research and more toward practical applications for patients.…
Assistance from an AI algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions.
Surgical robots are becoming widespread in operating theatres, delivering accuracy and safety. An overview of the main systems, principal operators, the market and European initiatives in this field.
German scientists have developed a magnetically controlled soft medical robot with a unique, flexible structure inspired by the body of a pangolin, that could heat up to mitigate bleeding.
Researchers at Harvard Medical School developed a new tool that promises to improve the way pathologists see and evaluate a tumor by providing detailed clues about the cancer.
US researchers evaluated AI techniques for cleaning medical images based on performance in clinical tasks. Some algorithms make the scans look better, but actually decrease image quality.
An MRI invention from engineers at the University of Waterloo reveals better than many existing imaging technologies how Covid-19 can change the human brain.
Chatbots are increasingly becoming a part of health care around the world, but do they encourage bias? New research from the University of Colorado School of Medicine hints at this possibility.
Unanswered questions are hampering clinicians in their efforts to get the best out of a precision medicine approach for their patients. Speaking at the Genomics and Precision Medicine Expo in London at the end of May, cancer educator Dr Elaine Vickers said the benefits of being matched to an investigational drug remain questionable for most people with advanced cancer.
AI could find critical biomarkers that predict non-response to conventional treatment in patients with chronic myeloid leukaemia (CML) more quickly, researchers in Singapore find.
A team of researchers from Denmark have developed a new AI framework to address the number of strokes that go unrecognised by human emergency call handlers.
A University of Arizona Health Sciences-led study found that more than 50% of people don't fully trust AI-powered medical advice, but many put faith in AI if it's monitored and guided by human touch.
AI, as used in ChatGPT, can generate credible medical information in response to common patient questions, a research team from Taiwan and the US found. However, some critical pitfalls remain.
Exosuits are adding a new dimension to rehabilitation and human augmentation options for people with limited movements after sustaining injury. High-tech sensors, actuators, controllers and soft textiles are advancing the possibilities of exosuits, with 3D printed components further enhancing the power and accuracy of the devices. The latest innovations were outlined by exosuit expert Professor…
The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models (LLM) but also revealing limitations that hinder reliability, new research shows.
An algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research.
An artificial intelligence developed at TU Wien (Vienna) can suggest appropriate treatment steps in cases of blood poisoning. The computer has already surpassed humans in this respect.
Most AI techniques for rare disease diagnosis use anthropometric measurements of European origins, ignoring the genetic and morphological diversity of humans, a new study finds.
Ever-more sophisticated robots are advancing healthcare across a wide range of areas. Latest developments and research are being showcased in London from May 29 to June 2 at the 40th International Conference on Robotics and Automation (ICRA). The event is set to be the world’s largest gathering on robotics and automation with pioneers, inventors and innovators coming together with academics,…
Artificial Intelligence (AI) could identify patients at increased risk of side effects from radiation treatment for breast cancer, according to researchers at the University of Leicester.
AI can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer, according to a new study. This could prove useful for triage in low-resource settings.
It is crucial that labs can rely on their slides for a seamless – and accurate – diagnosis. With many more commercial instruments focusing on flexibility and choice, these qualities are difficult to separate from subjectivity and complexity.
Clinicians in an intensive care unit need to make complex decisions quickly and precisely, monitoring critically ill or unstable patients around the clock.
For patients with human papilloma virus associated oropharynx cancer, assessing the presence of cancer cells beyond the lymph nodes is critical in determining proper treatment.
A new artificial intelligence model could bring much-needed clarity to doctors delivering prognoses and deciding on treatments for patients with colorectal cancer.
Doctors across all disciplines, with assistance from artificial intelligence, may soon have the ability to quickly consult a patient's entire medical file against the backdrop of all medical health care data and every published piece of medical literature online.
Wearable devices such as smart watches could be used to detect a higher risk of developing heart failure and irregular heart rhythms in later life, suggests a new study led by researchers from University College London (UCL).
As ChatGPT becomes more popular among those seeking health advice, researchers try to find out whether the information provided by the AI chatbot is reliable and accurate.
Chatbots become popular resources for cancer information - but are their results accurate? Researchers evaluated the reliability of ChatGPT’s cancer information.
A new paper describes how generative AI text-to-image models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation in health care.
Radiology practitioners have highlighted the benefits of cone beam CT in delivering high resolution at a low dose. Delegates at ECR 2023 in Vienna heard how cone beam CT (CBCT) could replace multidetector CT (MDCT) in some areas and is already showing cost-effectiveness benefits.
Interactive mobile apps have become ubiquitous in daily life. The Covid-19 pandemic has escalated the use of disease-specific monitoring apps. Mobile apps enabling cancer patients to self-manage their physical condition and symptoms can help them to evaluate toxic side effects of their treatments, offer artificial intelligence (AI)-generated recommendations to minimize them, and alert them to…
An artificial intelligence tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a new study. The tool identified abnormal X-rays with a 99.1% sensitivity.
The future of medical imaging will be shaped by AI, according to an expert panel hosted by Bayer at ECR in Vienna. Participants explored key trends in radiology and how AI innovation can help patients and their treating physicians.
A pioneering new method to assess the quality of organs for donation has the potential to revolutionise the transplant system, saving lives and tens of millions of pounds.
Predicting a Covid-19 infection from the sound of a cough? Researchers found that technology using Machine Learning performed no better than simply asking people to report their symptoms.
Carestream Health is funding and participating in an innovative pilot with OSIC that could lead to radiographs providing an early window into manifestations of IPF that are currently undetected.
Using imaging guidance, interventional radiology – a sub-discipline of diagnostic imaging – allows targeted and ultraprecise diagnostic and therapeutic procedures without anesthesia and without large incisions. Nevertheless, surgery continues to be widely considered the procedure of choice, making interventional radiology the Cinderella of the discipline. Professor Dr. Marco Das, Medical…
US researchers are developing a highly accurate machine learning model for early detection of mild cognitive impairment and dementia in older drivers.
Researchers from the University of Liverpool have tested whether the AI-powered chatbot ChatGPT could be used to make decisions about prescribing patients with antibiotics.
A new interdisciplinary article suggests ways in which the virtual-reality-based metaverse can help design healthy living environments and combat non-communicable diseases.
January 28 saw the celebration of the “Data Protection Day” as it is called in Europe, or respectively the “Privacy Day” as it is referred to outside of Europe. It marks the date on which the Council of Europe’s data protection convention, known as “Convention 108” was opened for signature back in 1981. According to the Council of Europe, it is the ‘only international,…
At the ECR 2023 congress in Vienna, Austria, Fujifilm Europe will unveil new products, host an MRI symposium, and provide opportunities to meet the company's experts.
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.
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.
Bayer announced the acquisition of Blackford Analysis Ltd., a global strategic imaging platform and solutions provider for artificial intelligence (AI) in radiology.
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.
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.
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.
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…
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 from the University Hospital Würzburg points out that the use of AI helpers can affect not only the reporting of findings – but also the person making the findings.
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…
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.
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.
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…
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.
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 the ECR 2022 congress in Vienna, Hologic 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 diagnostic technologies – or even the most basic standards of healthcare.
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.
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.
Using deep learning, researchers created AI-driven computer models to analyze corneal and retinal images to help eye doctors in the future.
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.
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.
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.
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.
The future of pathology is digital – for many departments, transformation requires major modifications but promises significant advantages. Professor Catarina Eloy outlines the vital elements.
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.