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.
When localised breast cancer is identified at an early stage, it is curable. Rising attendance in mammography screening programmes attest to the fact that women have gotten that message. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium in Colorado Springs, USA, breast imaging specialist…
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.
Assays: Clozapine, Risperidone, Aripiprazole, Olanzapine, Quetiapine, Paliperidone Highlights:Antipsychotic drug monitoring provides healthcare professionals accurate and vital information.Testing of antipsychotic drugs can help manage patient therapy by providing greater clarity on the causes of treatment failure (i.e., adherence, drug resistance, drug-drug interactions and drug…
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.
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.
Nurses around the world use intuition to work out how sick a patient is before triaging for treatment – according to new research from the University of East Anglia.
The commonly-held belief that attempting to suppress negative thoughts is bad for our mental health could be wrong, a new study from scientists at the University of Cambridge suggests.
Radiologists called for action to reduce the release of contrast media in the hospital’s wastewater after contrast-enhanced examinations in a dedicated session at ECR 2023.
Experts from Brigham and Women’s Hospital have tasked ChatGPT to generate recommendations for cancer treatment – with some promise, but ultimately inadequate results.
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
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.
To reduce avoidable errors, especially involving injectable medications in anaesthesia care, UK experts have published a new guidance on safe injection practice.
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.
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.
Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
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.
Scientists have designed an AI tool that can rapidly decode a brain tumor’s DNA to determine its molecular identity during surgery — critical information that can guide treatment decisions.
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.
Should radiation dose from previous medical imaging be considered when a new scan is made? UK experts issued a joint position statement that favors clinical need over prior exposures.
From current mixed reality assistance, technological advances could soon make fully digital autopsies a reality. This could enhance efficiency and legal certainty, and also benefit training.
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.
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.
Today, a large part of all further medical treatments is based on the results of laboratory analyses. The demand for complex test procedures remains high and the challenges for laboratories are growing.
One day, the ultrasound equipment that health care professionals use for diagnostic imaging may no longer be confined to the clinic, instead operated by patients in the comfort of their homes.
Executive opening panel dedicated to the sustainable digital healthcare ecosystem is the highlight of the Automa 2023 Congress (September, 25-26, Zurich, Switzerland).
British societies BCS and BJCA publish a joint policy statement to stamp out bullying, harassment, and discrimination in the specialty, endorsed by 19 affiliated organisations.
Smartwatches could soon benefit overstretched health practitioners and their patients, according to a preliminary study exploring the potential role of such devices in healthcare.
People with strong legs are less likely to develop heart failure after a heart attack, according to research presented at the Heart Failure 2023 scientific congress in Prague.
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.
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.
The "Future Pavilion", an immersive experience that showcases the latest in smart medical and digital health products and services, will be presented at Medical Taiwan (June 8-10).
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.
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.
Clinicians in an intensive care unit need to make complex decisions quickly and precisely, monitoring critically ill or unstable patients around the clock.
Getting vaccines to people who need them isn't always easy. Many vaccines require cold storage, making it difficult to ship them to remote areas that don't have the necessary infrastructure.
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.
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.
A new study has found that nearly 40% of patients over 50 who recognised they had hearing loss did not inform a doctor or nurse, despite the reduced quality of life and associated health risks.
An international study has shown how a decision tool for health professionals has proved capable of halving the use of antibiotics against urinary tract infections while maintaining patient safety.
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.
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.
Researchers in Sweden have developed a method for predicting fall accidents and cognitive illnesses by reading a person’s walking pattern with the aid of a radar sensor.
ECR 2023 returns to its traditional date in March, but delegates can expect novelties with sessions touching not just cutting-edge science, but also archaeology and palaeontology, and putting trainees in the spotlight, Congress President Professor Adrian Brady told Healthcare in Europe in an exclusive interview.
For many endoscopy wards, 2022 has been a year of transition and transformation. The field saw the advent of innovative reprocessing techniques, but also increasing strain due to personnel shortage and the demand for greater sustainability. We spoke with Paul Caesar, Reprocessing and Infection Control Leader EMEA at Pentax Medical, about the company’s upcoming solutions for the year ahead.
True or false: Webcams have only recently been introduced in neonatology and are a patient-side component of the Digital Health Portfolio. False! Already in 1989, Professor Dr Roland Wauer at Charité Berlin built his DIY system to transmit images from the neonatology ward.
60 percent of all administered drugs do not have the desired therapeutic effect. Even worse: in Germany alone about 60,000 deaths per year are caused by medication. With these shocking statistics Professor Dr Christian Franken started his presentation on “Pills from the 3D printer” at last year’s Medica in Düsseldorf. He hopes that his vision of personalized medication based on 2D and 3D…
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.
ECRI’s annual top ten technology hazard list alerts hospitals and healthcare providers of situations, products, and procedures they need to diligently monitor and/or take steps to improve. This non-profit technology Pennsylvania research firm has worked for over 50 years to make healthcare safer. The list reflects the organization’s collective judgment about the health technology risks that…
High-intensity focused ultrasound (HIFU) ablation is a noninvasively treatment for benign thyroid nodules that are causing distress to patients. Brian H. H. Lang, MD, Clinical Professor in the Department of Surgery at the University of Hong Kong, and chief of the Division of Endocrine Surgery at Queen Mary Hospital, is a preeminent investigator, proponent, and pioneer of this technique. He…
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.
Better coordination beyond purely medical aspects: the Swiss national research programme “Smarter Health Care” shows how resources in the health sector can be used more efficiently.
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.
The American Academy of Pediatrics has issued its first comprehensive guideline on the evaluation and treatment of children and adolescents with obesity, marking an end to previous recommendations.
Current EU regulation does not adequately consider the environmental emissions of pharmaceuticals in global manufacturing supply chains, a recent study from Finland concludes.
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…
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.
Researchers from the University of Jyväskylä and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images.
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 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.
Innovative gastrointestinal imaging, medical panel PCs with hygiene optimisation, smartphone-based diagnostic tools, and sustainable hardware setups: At Medica 2022, manufacturers from Taiwan again showed their capability to adapt and provide solutions for a world radically changed by the Covid-19 pandemic. Under the “Taiwan Excellence” banner, outstanding products from the island nation’s…
Periprosthetic infections and revisions are on the rise in Germany and worldwide, with significant consequences for affected patients as well as for the healthcare systems. Precisely because the number of patients at higher risk of infection in arthroplasty continues to rise, attention is increasingly focused on how this dreaded complication can be avoided.
In Europe, Germany has been bringing up the rear in implementing the electronic patient record (EPR) for years. While the EMRAM score of German hospitals continues to be negligible – on the international as well as on the European level – there are signs of progress that give reason for hope.
Volumetric 3D images and 3D models are becoming increasingly important in medical technology. Schneider Digital's high-resolution 3D PluraView stereo monitors are a perfect fit for 3D stereo display of medical data, especially from CT and MRI scanners.
Innovative robot systems are being designed to help patients regain mobility and rehabilitate after undergoing surgery. In addition, robotics can be deployed to help older people stay active and fit so they retain their independence for longer.
A session at the Medica Health IT Forum will focus on the important topic of gender-sensitive medicine and raise critical points within the field. While a key challenge remains in raising awareness and acceptance that there are medical differences between men and women, session chair Dr Martina Kloepfer points out that gender-sensitive medical care is the ‘lowest common denominator of…
Despite treatment, chronic lung diseases such as COPD or cystic fibrosis can become so severe that a lung transplant is necessary. Dr Urte Sommerwerck explains which patients might be considered for transplantation and why follow-up is as important as the surgery itself.
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.
