Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.
Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image data.
To advance the transition of AI from research to clinical application, Nvidia announced that Siemens Healthineers has adopted MONAI, an open-source medical imaging framework.
In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a universal problem solver for internal medicine? At the Annual Congress of the German Society of Internal Medicine (DGIM), Dr Isabella Wiest explored the potential – and limitations – of AI helpers.
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…
Siemens Healthineers expands its 1.5 Tesla Magnetom Flow. Platform to include a model with a 70-centimeter bore with the introduction of a new magnetic resonance imaging (MRI) scanner at RSNA 2024.
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…
The current rise in antibiotic resistance is once again sparking interest in phage therapy. Now, scientists developed a new tool that recommends the best possible phage cocktail for a given patient.
New research has shown that using artificial intelligence (AI) can improve how urinary tract infections (UTIs) are treated, and help to address antimicrobial resistance (AMR).
When an AI advisor points out an area of concern in a chest X-ray, radiologists are sometimes all too eager to follow their lead, a new study finds. This may lead to incorrect diagnostic decisions.
Mindray, one of the world's leading developers and providers of advanced medical imaging devices and solutions, launched Resona A20, a premium ultrasound system, at EUROSON 2024 in Naples, Italy.
A new study investigating the impact of AI in healthcare shows that using LLMs to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.
PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, a serious side effect of immunotherapy in lung cancer, a new study shows.
Skills shortages and digitalization, trends in cardiology and oncology, future prospects in laboratory medicine, and healthy aging – these pressing topics are at the forefront of discussions at this year’s Medica Labmed Forum.
Radiology AI products are a whole new world. So is running them safely and efficiently in production. At the 2024 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, an expert outlined how new skills and resources are needed to use these AI tools – and how PACS administrators could evolve their position to fit this important role.
How can innovations help to master challenges and demands in healthcare? This central question will be addressed at the Medica Health IT Forum, an established part of the programme at the trade fair.
UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.
Early and precise diagnosis of endometriosis is crucial for women's health and quality of life. Researchers are using hyperspectral imaging and AI to improve medical care for those affected.
Early detection is crucial for effective treatment of colorectal cancer, but the initial stages are easily missed during endoscopy screenings. With GI Genius, Medtronic presents an AI-powered tool to help detect precancerous lesions in real-time. In an upcoming large-scale trial, the intelligent endoscopy module will demonstrate its benefit in the clinical context.
Recent developments in deep learning techniques are enhancing clinical imaging quality and reducing radiation exposure for patients while also maintaining diagnostic accuracy. The latest AI (artificial intelligence) component to clinical imaging – referred to as deep learning reconstruction (DLR) – is having a particular benefit in paediatric imaging, according to Dr Samuel Brady from…
Increasing implementation of robotic automation and AI will speed up scientific progress in science laboratories, according to a new study. The experts outline this process across distinctive levels.
United Imaging launches the uMI Panvivo, the uMI Panorama GS and Nuclear Medicine AI Solution at EANM, and announces strategic partnerships, reinforcing its commitment to advancing molecular imaging in Europe and beyond.
A newly-developed wearable camera system is designed to detect potential errors in medication delivery by identifying contents of vials and syringes with the help of deep-learning AI.
The study offers valuable insights into the impact of AI technologies on everyday clinical processes. Above all, however, the study calls for clearly structured future research.
Minimally invasive surgical interventions, innovative imaging and the use of AI: At the upcoming EUSOBI congress in Lisbon, experts present and discuss the latest advances in breast imaging. We spoke with Tanja Brycker from Hologic ahead of the event about new trends in women’s health, the company’s investment in innovation and education, and what the future of mammography looks like with the…
Measuring the calcium build up in the arteries of the breast, researchers have developed an AI-generated score for predicting cardiovascular disease in women from their mammograms.
Researchers have succeeded in identifying patterns of response to treatment in patients with multiple myeloma using AI tools, which helps to accurately predict the evolution of the tumor.
A US-Swiss team leverages AI and molecular simulations to uncover new pathways for precision cancer treatments, paving the way for more effective, personalized therapies.
An AI-enabled digital stethoscope could help doctors identify twice as many cases of heart failure during pregnancy compared to regular obstetric care and screening, acording to a new study.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
Researchers have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.
Cologne researchers have developed an AI-based digital pathology platform to enable extremely fast and accurate fully automated analysis of tissue sections from lung cancer patients.
Radiology practices have a high volume of chest X-rays without clinically significant finding, which take up a lot of time. A new AI tool could improve workflows by providing an automatic report.
United Imaging, a company specializing in advanced imaging solutions, is proud to announce the first installment of their cutting-edge technology in France. The increasing number of healthcare facilities deciding to leverage the company's diagnostic solutions stands as a testament to their effort toward engineering imaging solutions that hold the potential to transform patients’ lives worldwide.
Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.
Enter symptoms into ChatGPT, receive an accurate diagnosis? Research reveals that LLM AI models are not quite there yet, struggling to identify genetic conditions from patient-written descriptions.
New resesarch suggests a new way of assessing the risk of heart failure without invasive diagnostic tests. The method involves MRI to measure heart pressure as a predictive factor.
Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.
The interpretation of prostate MRI is notoriously difficult. Annotating AI shows promise to help improve diagnostic performance through increased cancer detection rates with fewer false positives.
As the adoption of AI into healthcare continues, concerns about the environmental impact of increasingly complex AI models grow. Therefore, researchers are looking for more sustainable AI solutions.
The pace of artificial intelligence (AI) adoption in personalised medicine is unsettling for great parts of the public. A new survey reflects the worried state of mind in the UK.
To address the increasing stress and burnout rates among healthcare professionals, Amsterdam UMC will lead a European consortium in search of the best solutions.
AI models perform increasingly well in answering medical questions. However, when it comes to explaining these answers, shortcomings become apparent, a new study shows.
Cancer, dementia, heart attack: these are the medical conditions people are most worried about, according to a new UK survey. It also reveals hopes for AI in the future of cancer research and care.
Sentinel lymph node biopsies can help detect breast cancer – but not every patient benefits from the procedure. New research finds that a simple EHR prompt can prevent unnecessary surgery.
As opportunities for teleoperations rapidly expand within radiology, the concept is being deployed across an array of modalities to deliver more efficient healthcare. A range of speakers covered the topic of ‘Teleoperations in radiology’ at ECR2024, discussing its benefits in applications in MRI, ultrasound, during the social restrictions of the Covid-19 pandemic and military use. However,…
New research shows that the AI large language model ChatGPT can be tailored to provide accurate responses to questions about digital pathology and compile detailed results.
As demand for innovative healthcare solutions is at an all-time high, Medical Taiwan once again attracted a record number of visitors for its 2024 edition. The show’s organizer, the Taiwan External Trade Development Council (TAITRA), proudly reported an increase in attendance by 10% compared with the previous year. During the three-day event in Taipei, the audience was treated to a wide range…
From 45 minutes to just a few seconds: A new computer model utilises AI to examine cardiac MRI scans in the four-chamber plane, potentially offering speedy and dependable heart health evaluation.
The huge amount of data generated by modern MRI scanners presents challenges in storage, accessibility, and security. To that end, Chinese researchers have developed a cloud MRI system.
When colorectal surgery was first performed with robotic assistance in 2014, the procedure was questioned about safety, efficacy, and outcomes. Today it is an established option. Well-trained surgeons use robotic surgical systems confidently. Numerous clinical studies have verified its intraoperative benefits for patients and surgeons alike, as well as very positive outcomes for patients.
The new Nuclear Medicine Department of the San Pietro Fatebenefratelli Hospital was inaugurated in Rome. The Department was inaugurated with the online intervention of Health Minister Orazio Schillaci and in the presence of Maria Tripodi (Undersecretary at the Ministry of Foreign Affairs and International Cooperation), Antonello Aurigemma (President of Lazio Regional Council).
A whole-body MRI scanner with a compact 0.05 Tesla permanent magnet has been developed that operates on a standard wall power outlet without radiofrequency or magnetic shielding cages.
A novel blood test shows promise to predict Parkinson's disease in risk patients up to seven years before the typical motor symptoms appear.
Analytical and measurement technology specialist Horiba has expanded its compact hematology instrument range with the launch of new models with Erythrocyte Sedimentation Rate (ESR) on board.
Although the Covid-19 pandemic is behind us, healthcare facilities continue to experience workflow challenges and resource constraints impacting women’s health and a patient’s ability to receive a timely diagnosis. Clinical specialties like breast radiology and cytology are especially susceptible to these issues and continue to experience backlogs, which impact their ability to deliver timely…
Scientists discover how the production of antibodies is regulated in allergy and infections. This opens the door to new therapies, without affecting the beneficial response of the immune system.
Philips announced its latest AI-enabled cardiovascular ultrasound platform to help speed up cardiac ultrasound analysis with AI technology and reduce the burden on echocardiography labs.
The IRCCS in Bologna has inaugurated a state-of-the-art integrated PET/CT system. This cutting-edge technology allows for the entire human body to be studied in a single scan, even detecting the smallest tumour cells.
A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease (CAD), new research finds.
Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.
A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.
Due to climate change, diseases such as West Nile fever reach European countries. With the help of AI and math, institutions can prepare for new infections in the changing climate, new research shows.
Autonomous robotic ultrasound systems could perform routine examinations and support doctors in the OR. New research shows that these systems can make everyday life easier for medical professionals.
Through the joint efforts of United Imaging and NeuralMed, Prizren Regional Hospital has become the first facility in Kosovo to benefit from United Imaging's cutting-edge diagnostic technology.
Medical AI is advancing gastrointestinal endoscopy – but what happens when it contributes to a medical error? Legal experts are pioneering efforts to develop guidelines on medical AI liability.
Medical imaging and radiotherapy equipment company United Imaging are delighted to extend a warm welcome to Cobellis Clinic, the latest treatment centre to join their global family of clients. With an unwavering commitment to providing the highest level of healthcare services, the clinic has made a strategic decision to rely on the manufacturer's state-of-the-art imaging technology.
Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.
Two companies are combining their unique expertise to develop intelligent e-skin patches to “self-sense” cardiac events in patients. The flexible patch platform will deliver a comprehensive understanding of both electrical and mechanical heart activities and has the potential to enable cardiologists to better monitor their patients.
Endoscopy is pivotal in diagnosing and managing ulcerative colitis. Recent technology advances allow for early cancer detection, precise disease assessment and targeted biopsies, improving diagnosis and monitoring. The following article takes a look at the latest advancements.
Artificial cells to combat cancer: Research groups are working to create synthetic micro-organisms capable of detecting the presence of the disease and delivering anti-cancer therapies.
AI-enhanced CT scans can accurately evaluate cardiovascular risk without contrast media, a new study shows. The technique uses coronary calcium and heart chamber size as markers for disease detection.
‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.
Researchers have developed a deep-learning model that predicts the transition from a normal cardiac rhythm to atrial fibrillation 30 minutes before onset, with an accuracy of around 80%.
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. While playing a crucial role in diagnosis and treatment of disease, CT expert Efthimios Agadakos believes the medical profession has a duty to do its utmost to minimize patient risk from contrast media.
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.
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…
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.
At the EACVI congress in Spain, medical imaging specialist Esaote unveiled, among other solutions, its new portable ultrasound system MyLabOmega eXP, which features advanced cardio tools and AI-powered automation.
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.
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…
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.
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.
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.
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 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.
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…