A new AI-driven platform could allow people to interact with their medical devices by sending messages using a smartphone app and receiving feedback in real time.
From population-based mammography screening to more nuanced, risk-adapted models: Emerging technologies, among them contrast-enhanced mammography and contrast-enhanced MRI, as well as next-generation contrast agents, are opening new paths for breast imaging. During the annual scientific meeting of the European Society of Breast Imaging (EUSOBI) in Maastricht, we spoke with Dr. Joana Reis, Medical…
Surgery for vulvar cancer can save lives, but also significantly affect a woman's sexual function and quality of life. Now, a new surgical technique makes it possible to restore the clitoris.
Drones could be used to deliver automated external defibrillators (AEDs) to where a person is suffering an out-of-hospital cardiac arrest, according to a study presented at the EUSEM Congress.
Manually calculating intravenous insulin infusion rates is a time-consuming, error-prone process. A Turkish hospital addresses these issues with bedside software built in-house by a clinician who saw the problem firsthand on the ward. The tool already showed promising results during its first clinical implementation – though human oversight still has to stay firmly in the loop.
At CIRSE 2026, Precision IO presents Smart Seg AI for liver tumour segmentation and a new integration with GE HealthCare's Allia Moveo system for its Epione platform.
Cyberattacks on healthcare have reached unprecedented levels, with radiology departments emerging as particularly vulnerable targets. At the Society for Imaging Informatics in Medicine (SIIM) 2026 annual meeting in Pittsburgh, four authors of the new ACR/SIIM cybersecurity guidelines outlined the threats facing imaging enterprises – and the strategies needed to defend against them.
GE HealthCare and CAMES have officially opened a new education and training centre designed to expand access to point-of-care ultrasound (POCUS) training for healthcare professionals across the Nordics and beyond.
Cardiovascular disease remains the leading cause of death across the EU. Yet prevention and early intervention can have a major impact – and this is precisely the ambition of the EU Safe Hearts Plan. At a high-level event at the European Parliament in Brussels in July, policymakers, clinicians, patients, and industry came together to explore how diagnostic imaging can contribute to this goal.
Exposure of the thymus to radiation during lung cancer treatment is linked to an increased risk of the cancer spreading to other parts of the body and overall worse outcomes, a new study finds.
Decreased health care worker migration, worsening physician shortages: Brexit – the UK's vote to leave the EU – has profoundly impacted the English healthcare system, a new study finds.
Pulse oximeters may dangerously misread blood oxygen levels, depending on the skin color. A new system aims to fix this, accurately measuring vital signs across a broad range of skin tones.
How does performing robotic surgery exact stress on surgeons? A new study monitored brain, muscle, and heart activity to improve surgical training, operating-room design, and surgeon well-being.
A new suite of resources aims to help hospitals implement enhanced radiation and occupational safety guidelines in the fluoroscopy laboratory, often called “cath labs” or “angio suites.”
The members of the American Society for Radiation Oncology (ASTRO) recently elected five new officers to its Board of Directors. Beth Erickson, MD, FASTRO, has been elected President of the medical society.
Using a two-step AI approach, researchers have developed a computationally efficient new method to detect and classify brain tumors from MRI scans more accurately.
Point-of-care ultrasound, AI-assisted surgery, advanced biomaterials, and much more: At Medical Taiwan 2026, manufacturers once again presented a diverse range of solutions across the medical, health and care expo. We took a closer look at three noteworthy companies and their products on show.
How reliable is clinical speech-to-text AI? New research aims to not only answer this question but find specific solutions to advancing safe and reliable AI systems in medical documentation.
A new digital therapy platform, for use on mobile devices or computers, aims to help carers looking after people with dementia, reducing anxiety and depression levels.
For the first time, two teleoperated humanoid robots have been used to complete surgeries during a preclinical trial – a first step toward introduction in the operating room, researchers said.
A new portable ultrasound system could make breast imaging more accessible. The device generates high-res, 3D images of breast tissue, requires no expertise to operate and could be used at home.
Will artificial intelligence (AI) render radiologists obsolete? What seemed a likely scenario only nine years ago, has now given way to a quite different reality: At RSNA 2025, two experts outlined how AI tools are becoming essential allies – not replacements – for radiologists facing an unprecedented workforce crisis.
Improvements in arm and hand function, tactile and body awareness: Researchers have developed a rehabilitation platform for stroke survivors, which combines VR with targeted sensory nerve stimulation.
Will surgeons be replaced by machines in the future? With the rising impact of AI and robotics, this concern is on the minds of many medical professionals and patients alike. At the 2026 German Surgery Congress, Prof. Dr Jörg-Peter Ritz, President of the German Society for General and Visceral Surgery (DGAV) and Chief Physician and Medical Director at Helios Kliniken Schwerin, painted a more…
Past and present leaders of the European School of Radiology (ESOR) reflected on the evolution of radiology education in Europe and the challenges facing the specialty at ECR 2026 to mark the 20th anniversary of the school.
A study from the University of Calgary shows that removing a single gene makes colon cancer cells a target for immunotherapy — a fundamental breakthrough.
A new survey highlights major gaps in cardio-oncology training, despite its increasing clinical importance for prevention and early management of cardiovascular complications in patients with cancer.
Relearning how to walk after a stroke is a huge challenge, often requiring months of intensive rehabilitation. A new approach utilizing lower-limb exoskeletons aims to facilitate this process.
Fragmented care pathways, persistent data gaps and a ‘postcode lottery’ of services continue to undermine the quality of healthcare for women across the United Kingdom. At the HETT25 conference in London, a panel of experts from primary and secondary care, research, femtech and digital health innovation discussed how integrated care models and digital tools can reshape outcomes – and why…
Ultrasound imaging is notoriously difficult to master, as the operator has to mentally arrange a 3D object from 2D images. A new approach using augmented reality (AR) could help speed up the training.
A research team has developed a way to engineer better vaccines that could provide broad protection from thousands of variants of viruses - such as coronaviruses or Ebola - in a single vaccine.
Improved detection of clinical errors and time-saving on the one hand, inadequate training on the other: the latest Future Health Index points out benefits and challenges of medical AI integration.
Academic-industry partnerships are playing a crucial role in advancing computational pathology. At the Digital Pathology and AI Congress: Europe in London in December, Liron Pantanowitz outlined the benefits and risks of such collaborations – and why he believes the advantages outweigh the potential pitfalls.
Researchers have produced the first 3D map of the heart’s electrical wiring in Tetralogy of Fallot, revealing features that may explain why many patients develop heart conduction disorders.
A new AI-based method can reduce the time required for certain MRI brain scans by up to 90% while maintaining a high level of accuracy, paving the way for more efficient and accessible neuroimaging.
Engineers have created a soft, wearable ultrasound patch that can continuously monitor a fetus for hours at a time — and do so even as the fetus and umbilical cord constantly move during pregnancy.
A team of researchers has developed an AI system capable of interpreting some of the most complex heart scans in medicine, cardiac MRI, without the need for manually labeled training data.
Fujifilm has broken ground on a new European Endoscopy Training Center in Milan, set to open in 2027 as a dedicated facility for clinical training and collaboration.
Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.
A new technique to “prime” a patient's immune system before liver transplantation has proven itself in a first-in-human clinical trial to successfully prevent transplant rejection.
For a young adult, a cancer diagnosis hits different: a more aggressive disease course, greater disruptive potential, longer survivorship. Yet most healthcare institutions seem poorly prepared for this growing patient group. A plenary session at the NCCN 2026 Annual Conference examined a striking shift in modern oncology: the rising incidence of cancer in adolescents and young adults (AYA).
MEDTRON AG, one of the leading European manufacturers of contrast media injectors and medical technology “Made in Germany,” is expanding its product portfolio with a groundbreaking innovation: With Syriflow® MR, the company introduces a new syringe pump specifically designed for use in MR imaging.
To improve lung cancer detection, researchers have developed a new AI system that employs a dual approach to analyse CT scans – seeing both detail and context at the same time.
Researchers are developing a portable AI-powered scanning slit-light device, designed to make ophthalmic care more accessible, so patients can be assessed any place, and any time.
One phishing email sends an entire county’s health service back into the age of pen and paper for months. A hidden prompt is buried within an abdominal CT image: At ECR 2026 in Vienna, cybersecurity experts presented real-world cases that read like ghost stories: tales that exemplify new vulnerabilities in modern AI-driven radiology systems – and how to avoid them.
Medicine has long been regarded as a profession rooted in collaboration. From multidisciplinary teams to shared clinical decision-making, the system depends on cooperation to function effectively. However, behind this collaborative façade exists a parallel competition, one that is rarely discussed openly but widely experienced.
"Why did the computer conclude this?": Patients increasingly scrutinize the impact of AI on medical diagnostics. A new article explores the tension between transparency and legal frameworks.
Neither radiologists nor multimodal large language models (LLMs) are able to easily distinguish AI-generated “deepfake” X-ray images from authentic ones, according to a new study.
Two new studies explore the role of the thymus – a small organ in the chest, and possibly a missing piece in explaining why people age differently, and why cancer treatments fail in some patients.
Why do some cancer cells develop treatment resistance? The answer may lie in hidden “storage hubs” inside tumour cells, which create uneven drug exposure across tumours, according to new research.
Diagnostic imaging without actual images, but with sleek and shiny scanners; no more radiology and pathology departments, but virtual patient models and AI-enhanced surgical precision: At this year's European Congress of Radiology (ECR) in Vienna, two leading experts envisioned 2050 as a radically different future of medicine – less Grey's Anatomy, more Star Trek. They made it clear…
On March 18–19, 2026, Poznań will host the fourth edition of the Laboratory Equipment and Technology Trade Fair, Labs Expo – an event combining presentations of modern technological solutions with an intensive, content-rich conference program. This year’s agenda has been designed for practitioners, including laboratory managers, QC and R&D specialists, metrologists, auditors,…
Radiation oncology is a field in remarkable transformation: a deepening global shortage of trained practitioners, persistent inequities in access to treatment – and, on the other side of the ledger, a new generation of technologies, from AI-driven adaptive planning to photon-counting CT, that are expanding what the field can do in ways previously unimaginable. At this year’s World Health Expo…
Radiologists worldwide are facing mounting workloads, with exam volumes rising and workforce numbers struggling to keep pace. At the RSNA 2025 annual meeting in Chicago, a dedicated session explored how departments can improve efficiency using tried-and-tested methods – without waiting for artificial intelligence to arrive.
Using machine learning, researchers have trained an electronic nose to detect early signs of ovarian cancer in the blood. The method could eventually be used to find many different cancers.
MIT researchers have developed a miniaturized ultrasound system that could make it easier for breast ultrasounds to be performed more often, either at home or at a doctor’s office.
Computational pathology is becoming increasingly important in helping deliver precision medicine to a wider range of patients. Experts at the 37th European Congress of Pathology in Vienna discussed how algorithms can optimise laboratory workflows, generate stronger evidence for molecular tumour boards, and enhance clinical trial design.
The promise of AI in healthcare is enormous – however, most who have actually worked with today's models will agree that the technology is not quite there yet. At MEDICA, a panel of AI experts and healthcare leaders tackled a fundamental question: What stands between AI's current state and its potential as a reliable healthcare companion? The discussion revealed that technical…
An international study shows that Alzheimer’s disease biomarkers can be accurately detected using simple finger-prick blood samples that can be collected at home and mailed to a laboratory.
Mobile Stroke Units, equipped with a CT scanner, point-of-care laboratory, and communications capabilities, could reduce unnecessary emergency department transfers by 86%, a new study finds.
A sample of inequality: A new study shows that AI models can infer demographic information from pathology slides, leading to bias in cancer diagnosis among different populations.
Even minor functional impairments of the kidneys can have serious consequences for patients after major surgery. New biomarkers could help identify high-risk patients at an early stage.
Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating artificial intelligence (AI) from Qure.ai into their chest X-ray workflows.
One-third of junior doctors have experienced sexual harassment and abuse within their healthcare system. A new research anthology aims to help understand and tackle the root causes, and find potential solutions.
Researchers developed an algorithm for personalizing robotic prosthetic devices to optimize the movement of the prosthetic limb and also help a user’s body engage in a more natural walking pattern.
Delivering a pathology service in resource-constrained locations and developing countries remains a challenge. Cost is a significant barrier, as is the availability of equipment, trained staff and technical and IT support can also hinder a desire from clinicians and pathologists to give their patients a high level of service to help their diagnosis and recovery. The subject was tackled in a…
Researchers have created a system that uses generative AI to study the shape and structure of blood cells, and spot unusual or rare cells that may indicate disease such as leukaemia.
Rehabilitation specialist Fourier Rehab presented its portfolio of robotic systems at MEDICA. The solutions ranged from exoskeletons to cycling-based therapy devices and platforms for data management.
A new study shows how AI could transform medical education, while calling for stronger collaboration across schools, hospitals, and regulators to make it safe, responsible, and effective.
Researchers explore how ultrasound waves can be used to activate chemotherapy drugs only in targeted areas, offering a new path toward safer, more effective cancer treatment.
In emergency settings, AI to analyze ECG data can improve detection of severe heart attacks, including those with unconventional symptoms, or atypical ECG patterns, and reduced false positives.
At the 2025 ESMRMB Annual Meeting in Marseille, speakers made a strong case for what remains an outsider in radiology: low-field MRI. Despite its affordability, improved performance, and reduced environmental footprint, the technology continues to face scepticism – not from regulators or patients, but from radiologists themselves.
Magnetic resonance imaging (MRI) holds great potential to spare men with suspected prostate cancer a painful biopsy. In our interview, Dr. Peter Seidensticker, Head of Medical Affairs Radiology at Bayer, outlines how MRI could be implemented as a first-line diagnostic.
Rising attendance in mammography screening programmes attest to the fact that women understand the importance of early breast cancer detection. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium, breast imaging specialist Stamatia V. Destounis, MD, discussed her practice’s coping strategies.
An AI system that can predict what a patient’s knee X-ray will look like a year in the future could transform how millions of people with osteoarthritis understand and manage their condition.
Overcrowded EDs and the escalating workload of nurses are pressing challenges in emergency medicine. While AI might not solve these problems, it could help staff mitigate them, new research suggests.
Healthcare stands at a crossroads. With an impending shortage of 11 million healthcare workers by 2030 and millions dying annually from poor-quality care, the industry desperately needs transformation. Dr. Alex Ng from Tencent Healthcare explores how artificial intelligence is emerging as a powerful catalyst—not to replace human expertise, but to amplify it.
This year, the Journées Francophones de Radiologie (JFR) will carry a clinical ambition as simple as it is essential: to shine a spotlight on those who are often overlooked. Under the presidency of Professor Mathieu Lederlin, thoracic radiologist at Rennes University Hospital, vulnerable patients will be at the heart of the annual meeting of the French Society of Radiology that will unfold…
Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.
Imaging specialist Fujifilm Healthcare Europe and the research and training institute IRCAD France have announced a collaboration focused on surgical education and research programs.
A new study demonstrates drones can deliver life-saving AEDs in just minutes from an emergency call – potentially doubling survival rates in out-of-hospital cardiac arrests.
Traditionally, measuring heart rate requires some sort of wearable device. Now, new research shows how the signal from a household WiFi device can be used for this crucial health monitoring.
The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 is a hub for decision-makers and digital innovators for exchanging insights on the integration of AI within pharma operations. To bring on the networking discussions, the Congress is held in Vösendorf, Austria on November 24-25.
Patient communication facilitated by chatbots, image quality optimized by machine learning: Artificial intelligence (AI) is entering radiology at breakneck speed, transforming the specialty almost beyond recognition. So, how will the future of diagnostic imaging under AI look like, and which role will humans still play in it? At the ECR congress in Vienna, experts explored the societal and…
Shortages of skilled staff is creating challenges in medical laboratories across Europe. Many workers are nearing retirement age with numerous hospital laboratories having unfilled positions and facing the further issue of sharp competition from the pharmaceutical industry for skilled personnel. The challenges, and potential solutions, for medical laboratories were aired at a session looking…
AI-driven scribes that record patient visits and draft clinical notes for physician review may lead to significant reductions in physician burnout and improvements in well-being, a new study finds.
Henkjan Huisman has been appointed Professor of AI Guided Imaging at Radboud UMC/Radboud University. With a focus on AI applications in medical imaging, his goal is to provide better and more affordable care.
Digital technology is being harnessed to support the women’s health agenda in the UK and address issues of equity and access to healthcare through a range of innovative initiatives. Delegates to the HETT (Healthcare Excellence Through Technology) North conference in Manchester heard how digital technology is being leveraged to support women’s health Hubs – which tailor care to meet…
Using ultrasound imaging, researchers measure the wall thickness of the aorta from within a patient's body, to predict with higher accuracy whether an aneurysm will rupture or not.
To help people with hearing loss, researchers develop an AI-powered lip-reading camera that translates lip movements into sound. The device could also work in areas with a lot of background noise.
Gadolinium-based contrast agents enhance visibility but also pose a significant health risk. A new AI-powered virtual MRI imaging technique is designed to offer a safer diagnostic approach.
AI tools for adenoma polyp detection are designed to help increase the accuracy of colonoscopies. However, a new study finds that using AI may lead to loss of detection skills in health professionals.
Remote monitoring via microfluidic platforms, AI-assisted sensor systems, and more: Attendees of the Labmed Forum at Medica saw impressive examples on how wearable technology is becoming a transformative force in laboratory medicine to improve real-time monitoring of patients, covering widespread conditions such as diabetes, asthma and COPD. With an emphasis on remote monitoring, devices are…
New research finds that neurosurgery students receiving AI-augmented, personalized feedback from a human instructor have better surgical performance, risk management and skill transfer.
Do laboratory tests using blood-based biomarkers (BBB) represent the next type of universally recommended screening tests for Alzheimer's disease (AD)? Experts curb the high expectations for this type of diagnostic tool.
Antibiotics are known for disrupting the microbiome in the gut and thus paving the way for diseases. However, many common non-antibiotics also have this effect, a new study shows.
A new AI tool has been shown to accurately predict who would go on to develop leaks in the heart valves – conditions known as regurgitant valvular heart diseases, at a very early stage from an ECG.
Two dogs have been trained to distinguish between sebum swabs from people with and without Parkinson’s disease. This is especially relevant, as a definitive diagnostic test remains elusive.
A neural network AI has been trained to detect cardiac amyloidosis from a single echocardiogram video of the heart's apical four-chamber view and differentiate it from similar heart conditions.
A potentially transformative advancement in surgical robotics: A robot trained on videos of surgeries successfully performed a lengthy phase of a gallbladder removal without human help.
Medical Taiwan has long been a showcase for cutting-edge healthcare solutions, but this year marked a pivotal moment. Visitors of the latest edition of the medical, health and care expo in Taipei witnessed a particularly noticeable step forward: the definitive transition of medical AI from promising research to actual clinical practice. Organized by the Taiwan External Trade Development Council…
A new study shows that retrieval-augmented generation (RAG) can eliminate hallucinations in clinical large language models (LLMs) while protecting patient privacy during contrast media consultations.
More consistent TIL assessments, more accurate patients' prognoses: New research shows how AI sharpens pathologists' interpretation of tissue samples for malignant melanoma.
A new technique called photoacoustic computed tomography (PACT) offers a breast imaging alternative without the discomfort, high costs, or risk associated with the conventional evaluation methods.
Covid-19 has intensified domestic violence rates worldwide, with children among the most vulnerable victims. At the ECR 2025 radiology congress in Vienna, Dr Rick R. Van Rijn presented compelling insights into how radiologists can identify non-accidental trauma (NAT) in children through systematic imaging approaches. From comprehensive skeletal surveys to specific neurological imaging protocols,…
Patients with systemic lupus erythematosus (SLE or ‘lupus’) may wait for up to 40 years to receive the correct diagnosis. New research highlights the causes and devastating impact of these delays.
Digital pathology software company Fujifilm Healthcare Europe and Ibex Medical Analytics, specializing in AI-powered cancer diagnostics, announce a formal partnership to support efficient and accurate cancer diagnosis.
A virtual medical receptionist named “Cassie,” developed through research at Texas A&M University, is designed to transform the way patients interact with health care providers.
Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor data for better screening, and more: Digital technologies hold great potential to improve diagnosis and treatment of patients with atrial fibrillation (AF). At the ESC 2024 cardiology congress in London, four experts explored the benefits of new solutions and pointed out…
The use of surgical robots offers a wide range of possibilities, but in Europe the technology is often unable to reach its full potential. Dr. med. Christoph Wandhöfer explains why.
If data used to train AI models for medical applications differs from the real-world data, it could lead to patient harm. A new study found proactive strategies to mitigate such data shifts.
What if every radiographer could help combat climate change while performing their daily work? Following the congress theme of ECR 2025, experts revealed how small changes – from education initiatives to simple workflow adjustments – can collectively transform the environmental impact of radiology.
Personalised, responsive assistance for patients with dyspraxia: Assistive robots could help patients with motor coordination conditions by detecting and predicting intent, effort and fatigue.
Nuclear medicine specialist Daniela Oprea-Lager has been appointed Professor of Theranostics at Radboudumc / Radboud University. Her research focuses on the combination of diagnostics and treatment using radioactive substances, with particular interest for urological tumors, especially prostate cancer.
Cataracts are often treated via SICS surgery in low- and middle-income countries, which often leads to poorer results due to limited resources and training. A new AI-based tool aims to improve this.
Survival rates for pancreatic cancer rise drastically the earlier it is detected, but early-stage tumors are notoriously difficult to spot. A new AI-powered diagnostic system is set to improve this.
As Emergency Departments (EDs) get ever busier, focus has fallen on the role artificial Intelligence (AI) can play in supporting patients and clinicians in delivering urgent care. The topic took centre stage in a session looking at the ethics of AI in the ED at the annual congress of the European Society of Emergency Medicine (EUSEM) in Copenhagen.
Integration of large language models (LLMs) in healthcare is still in its early stages, but expected to expand rapidly. Now, researchers point out potential cybersecurity vulnerabilities in radiology.
Reading an LLM-generated recap to get the gist of a scientific publication? Not a good idea, a new study finds: Most leading chatbots exaggerate the findings – prompting for more accuracy even makes things worse.
Researchers evaluated the clinical value of using ChatGPT to interpret seizure semiology in order to predict which brain areas to remove to achieve seizure freedom in epilepsy patients.
A new AI tool called PERISCOPE should help healthcare providers determine which patients need extra monitoring to protect them from wound or lung infections, UTIs or sepsis.
Researchers used state-of-the-art 3D bioprinting to replicate the complex structure and environment of spinal discs. Their insights hold promise for understanding back pain and disc degeneration.
Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.
Using AI to analyse ultrasound scans can detect up to 35% more risk pregnancies than scans performed by healthcare professionals without AI decision support, according to new results.
Healthcare-associated infections (HAI) are a threat to residents of long-term care facilities in Europe. A new study points to serious gaps in infection prevention and control measures.
Dutch researchers have developed an AI tool to support Mohs surgery, a precise but time-consuming procedure to treat the most common form of cancer in the Netherlands: basal cell carcinoma.
Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.
Researchers have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients.
While generative AI shows immense potential for healthcare, a critical reliability issue lurks beneath the surface: LLMs don't think like doctors do, a data science expert explained at the Emerging Technologies in Medicine (ETIM) congress in Essen. This potentially fatal flaw, however, may be fixable, he suggested.
Medical digital twins can help predict diseases, but are vulnerable to cyberattacks that can lead to incorrect diagnoses. Researchers have developed a new defense system to address this threat.
A new device for people with or without medical training could be used as an easier, more forgiving alternative to stethoscopes to accurately detect valvular heart disease (VHD).
RNA researcher Anastasia Khvorova, PhD, professor of RNA therapeutics at UMass Chan Medical School, will receive this year's Else Kröner Fresenius Prize for Medical Research on May 15, 2025. The award ceremony will be a part of the festive event together with the Fresenius SE & Co. KGaA celebrating the 100th birthday of Else Kröner, at the Städel Museum in Frankfurt am Main.
An international research team has developed an intelligent device capable of monitoring the skin continuously and accurately detect temperature variations associated with inflammation and infection.
Soccer is not only a fun and popular sport, but can also help prevent many lifestyle-related conditions, including diabetes, heart disease, obesity, several cancers, and mental health challenges.
The evolving role of AI tools in digital pathology was explored at an open discussion during the annual Digital Pathology and AI Congress in London with a high-level panel of practitioners looking at current and future technology options. The panel of pathologists, scientists and academics from Europe and the USA assessed the tools they currently use and are available to them, and those they…
A novel sensor placed on a patient’s head registers nanometric expansions of the skull in each cardiac cycle in real time to measure intracranial pressure more accurately and non-invasively.
New research reveals that self-generated electrical activity of small cell lung cancer (SCLC) directly promotes tumor metastasis and progression. This may provide new avenues for future treatments.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
Generative AI can detect and quantify cognitive biases of human caregivers during medical emergency situations. This way, LLMs could help reduce the impact of bias based on gender, age, or ethnicity.
Anatomically accurate 3D-printed phantoms for CT imaging and AI training show promise as an alternative to cadavers. The new technology allows for patient-specific phantoms with realistic radiopacity.
MRI is an essential tool for clinicians, but the variability of image acquisition protocols is a challenge for achieving consistent and reliable interpretation. A new study intends to fix this issue.
Researchers developed an AI-based system which has has a broad ability to identify even subtle differences between medical images taken at different times, and to predict related outcome measures.
For more than a year now, patients in Austria are no longer required to wear a lead apron during radiological imaging procedures such as X-ray and CT scans. However, the new recommendation, issued by the country's five specialist societies for radiation protection and imaging, has sparked mixed reactions among radiology technologists. At the annual congress of the specialist society…
Nuclear cardiology is a specialised field in nuclear medicine that evaluates the heart function to help diagnosing conditions such as coronary artery disease and to assess treatment efficacy, whilst minimising invasive procedures like biopsies. More recently, clinicians have increasingly opted for nuclear imaging over endomyocardial biopsy to diagnose cardiac amyloidosis, allowing for earlier…
A new open-source automated MRI segmentation tool is setting new standards, developers say. It adapts to any new dataset with minimal user intervention, outperforming similar tools.
A new AI tool creates super-resolution images showing the inner structures of bones in great detail. This can be used to better determine risk for fracture in elderly patients with osteoporosis.
It takes one to know one: Researchers have developed an AI-based evaluation tool to assess how well clinical AI tools perform in the hospital.
New AI-enabled systems, intelligent software, and imaging cloud services for improved radiology workflows: Royal Philips announces its solutions that will be showcased at ECR 2025 in Vienna.
Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.
Patient safety is at the heart of every medical advancement, and technologies like endoscopes have been pivotal in transforming surgery by enabling minimally invasive procedures. This evolution has led to safer operations, reduced complications, and improved patient outcomes. However, these advancements depend on rigorous hygiene protocols for reusable medical equipment.
A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.
Better protection against cybercrime, more efficient threat deterrence: The European Commission has presented an EU action plan to bolster the cybersecurity of hospitals and healthcare providers.
"This is a pivotal moment for European healthcare education," says project leader Minna Isomursu about the start of SUSA, a collaboration to advance sustainable practices in healthcare.
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.
Opposing views on new implantable cardiac devices were aired in a Great Debate session at the European Society of Cardiology’s annual 2024 congress in London. Experts discussed emerging techniques and technologies and debated whether they are actually ready for clinical application. At the core of the session was the issue of whether conduction system pacing (CSP) should replace cardiac…
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.
Imitation learning could open a new frontier in medical robotics: Researchers 'taught' a robot to mimic a surgical procedure by watching the surgeons' performance.
To reduce the burden of hospital staff and optimise working conditions, Linak and Tente are presenting an innovative solution for patient transport at the hospital bedside at Medica in Düsseldorf.
“There’s nothing else we can do”, “Why did you wait so long to come?” – doctors should avoid using such phrases. A new study points out the destructive potential of “never words”.
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.
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.
Artificial Intelligence (AI) remains a divisive topic within the discipline of pathology with a range of opinions over its current value and applicability in clinical settings. While most experts agree that the technology will not replace pathologists, it might still spell bad news for those who do not embrace AI in their daily practice. On the other hand, reservations persist about whether…
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…
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.
Telesurgical procedures, new resection techniques, robot-assisted surgery: The sixth Semi-Live conference at University Hospital Heidelberg looked at how surgical approaches have evolved in the last few decades driven by technical advances in the ongoing quest for precision and excellence in patient care.
Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data.
Many aspects of long Covid are still poorly understood, so many sufferers have turned to self-monitoring via wearables. New research explores the benefits and drawbacks of this approach.
Ultrasound plays a pivotal role in the assessment of organ transplant patients. It enables physicians to safely and easily assess progress, identify complications and resolve problems, as well as deliver long-term monitoring. The value of ultrasound in the transplant space was highlighted in a session at ECR 2024, covering liver, renal, pancreas, paediatric and multi-organ transplants with…
Testing from histopathology laboratories is considered the gold standard for many diseases. To avoid errors that can significantly impact patient outcomes, an expert details on quality assurance (QA).
Certain long-term health conditions such as chronic obstructive pulmonary disease (COPD) and asthma, can obscure early symptoms of lung cancer, leading to delays in diagnosis, a new study finds.
When the cardiologist cannot come to the patient, a robot arm might do the trick: New research shows the potential of echocardiograms performed remotely using robot arm technology and a 5G network.
In a recent study, researchers proposed a novel technique to help make stained histopathological image datasets more useful for many emerging machine-learning-based classification systems.
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.
Breakthrough for telemedicine: Surpassing a distance of 9,300 kilometers, surgeons from Hongkong and Zurich successfully performed an endoscopic procedure in an animal model.
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.
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.
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 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.
Diagnosis and monitoring medical conditions, including cancer, diabetes, heart disease, and infections: In this opinion article, Alix Joseph (Linxens) explores the potential of sweat analysis.
AI models perform increasingly well in answering medical questions. However, when it comes to explaining these answers, shortcomings become apparent, a new study shows.
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.
A new heart valve comprised of biological material obtained from human cells, opens up new therapeutic avenues for patients with paediatric heart diseases, such as tetralogy of Fallot.
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…
Researchers have developed a tool that can predict the risk level for side effects in the nervous system of women treated for breast cancer using taxanes. This could help adapt treatment.
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 nuclear medicine global market is projected to see a significant increase in the coming years, with the lion's share being attributed to radiotherapeutics. So, how to set up a dedicated theranostics centre? At the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI) in Toronto, Ontario, an entire session was dedicated to planning logistics, radiation safety, and…
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.
In this live webinar 9th July 2024, 11:00 BST (10:00 UTC, 15:00 PDT), co-editors will discuss the evolution of Martindale: The Complete Drug Reference, including a live demonstration on MedicinesComplete.
What is an advanced clinical practitioner (ACP) and why should nuclear medicine technologists strive to become one? At the 2024 annual meeting of the SNMMI in Toronto, ACP Luisa Roldão Pereira outlined the position and its importance in the clinical context.
Tackling standardization of molecular pathology at a European level remains a major challenge, according to speakers at the 35th European Congress of Pathology in Dublin. One leading expert warned it would be ‘very difficult’ to achieve, though the session also heard about potential solutions such as educational steps to consistently train future pathologists at a high and consistent level.
Digital twin technology can transform clinical practice by aiding patient-specific prediction and supporting personalized treatment models. Expert speakers at an ECR 2024 session in Vienna focussed on how radiology will play a leading role in the advance through data acquisition via a range of imaging modalities.
In more than one in six patients diagnosed with pancreatic cancer, the tumour is initially diagnosed at a non-metastatic primarily unresectable, locally advanced stage (LAPC). For these patients, a new internal radiation procedure, OncoSil™ brachytherapy, may become a treatment option – in Germany, around 858 patients could benefit from this innovation annually.
When point-of-care testing (POCT) models for diagnosing infectious disease are effective, the quality of pathology results can be equivalent to laboratory tests, new research shows.
A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.
Chatbots like ChatGPT generally deliver servicable results when asked for healthcare advice. However, new research suggests that the LLM's accuracy drops when languages other than English are used.
A research group established a microfluidic control technology that can be applied to small blood testing devices and consequently developed a novel integrated immunoassay device.
Immunotherapy increases survival rates in kidney cancer, but does not work for everyone. A research team developed a new method to predict which patients will benefit from it.
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.
‘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%.
Surgeons often suffer from back and neck pain, due to inadequate posture during surgery. A new study uses wearable technology to prevent muscoloskeletal conditions from cutting short medical careers.
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.
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.
Digital pathology can be used to great effect in pharmaceutical research: it can accelerate analyses, give deeper insights into cellular mechanisms, and enable better understanding of their role into clinical development. This potentially offers clearer predictions on how patients may respond to treatment and lead to personalized therapies.
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.
A new bioelectronic sensor enables continuous monitoring of bladder function. This could be a game-changer for people with paralysis, spina bifida, bladder cancer or end-stage bladder disease.
A clinical trial has revealed the effectiveness of '3D mammography' in reducing by almost half the incidence of interval breast cancer appearing between two rounds of screening.
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.
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'.
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.
US oncologists are exploring a new combined chemotherapy and surgical approach to safely remove advanced pancreatic tumors that were previously considered inoperable.
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.
As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it’s essential to consider the environmental impact of AI tools.
‘Next Generation Radiology: Embracing the future and redefining the field of radiology’: In the run-up to the European Congress of Radiology 2024, we spoke with ESR President Professor Carlo Catalano from Rome, Italy, about the meeting’s content and its intriguing theme.
Not all medication can safely be taken together. Using a machine-learning algorithm, researchers predict interactions that could interfere with a drug’s effectiveness.
A new BMJ survey shows many doctor parents find it almost impossible to fit their work in with available childcare options. For some, childcare costs are more than they earn.
After a stroke, patients often experience uncontrollable spasms of their arms and hands. Engineers have developed a glove-like wearable medical device that offer relief for the condition.
Keeping technology simple and affordable is key in helping patients to fully benefit from robotic systems, according to a leading expert in the field. While expensive and complex systems have been developed, Professor Heike Vallery believes the full potential of robotics in patient care will only be realised when they become more affordable and widely accessible. She also underlines the…
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.
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.
RTI presents its latest advancement in X-ray Quality Assurance and testing. Centered around efficiency, Mako provides the ultimate no-fuss experience, simple setup in all X-ray applications, and fully wireless capability.
Researchers have developed software able to disguise sensitive data in health care applications. This protects privacy while making datasets available for development of better treatments.
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…
Bringing digital pathology together with novel multiplexed staining techniques may answer key questions about complex diseases. Pathologist Lukas Marcelis, MD, PhD, believes such combinations of technology will have benefits for clinicians and patients and can help unravel some of the mysteries surrounding a range of conditions.
Combining a biological heart and a silicone robotic pump, researchers created a biorobotic heart that beats like a real one, with a focus on a valve on the left side of the heart.
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.
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.
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.
Gender equity is a key factor in achieving excellence in academic medicine. So far, however, this is only partly reflected in reality: In Europe, women represent 54% of physicians and 40% of radiologists. However, female representation in radiology decreases at increasing levels of leadership. A panel of experts assessed the challenges women have to face in radiology and explored strategies to…
Neurobiologists in Sweden have discovered a way to partially restore communication between nerve cells in the brain after a stroke. This could lead to future treatments, the researchers say.
Research from Shenzhen proposes an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images.
Stroke survivors regaining motor abilities they thought lost, blind persons developing echolocation – is the brain really able to reorganize in this way? A new study offers a different explanation.
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.
Cedars-Sinai Medical Center, a non-profit hospital and medical research institution in Los Angeles, is setting new standards for quality and innovation in patient care by successfully introducing typing of Candida auris species – a procedure that could prove crucial in protecting patients from infection outbreaks caused by these microbes in healthcare settings.
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.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
Scalpels with built-in sensors could streamline training for surgeons and pave the way for procedures performed by robotic devices, a study suggests.
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.
Clinicians who show more empathy promote better psychological health among breast cancer patients, according to a new US study examining how oncology doctors facilitate psychological well-being.
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…
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.
The enhanced infection safety measures installed for the Covid-19 pandemic also had a beneficial effect on hospital-acquired infections (HAIs) overall, a new US study suggests.
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.
