With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.
Imaging left ventricular function is challenging for patients who cannot hold their breath for long. A new AI-enhanced MRI technique captures the entire cardiac cycle in a single shot.
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.
Using novel implantable neurotechnology and AI, researchers found a new way to make future leg prostheses feel and act more like a natural part of the body.
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…
Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.
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…
Artificial intelligence has a critical role to play in supporting clinicians beyond the initial breast cancer diagnosis. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, Professor Gerald Lip outlined how AI can enhance the performance of modalities such as ultrasound and MRI in supporting clinicians as they plan and deliver treatment for patients.
Fujifilm Healthcare Europe will present the new Arietta DeepInsight x ultrasound technology platforms at the House of Fujifilm experience at ECR 2026: Rays of Knowledge.
Pancreatic cancer remains a diagnostic challenge, due to unspecific early symptoms and lack of effective screening tools. A novel AI metabolomics platform could help overcome these issues.
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.
Worsened delusions, mania, suicidal ideation, eating disorder: People with mental illness who use AI chatbots risk experiencing a worsening of their condition, a new study shows.
Sword Intelligence applies AI to triage and care coordination, reporting a 70% cut in musculoskeletal waiting lists and a fourfold boost in operational capacity.
Few medical specialties evolve as rapidly as radiology. Continuous advances in imaging technology, the integration of artificial intelligence, and growing interdisciplinary collaboration demand that professionals stay at the forefront of knowledge. The European Congress of Radiology (ECR) 2026 in Vienna embraces this reality with its motto “Rays of Knowledge”.
The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2026 takes place in Zurich on 16-17 November and reflects companies' approach to digital transformation as a business and operational priority.
Clues in the CSF: Researchers have developed the first high-precision method that can theoretically diagnose common brain tumors in children and adolescents without surgery.
Researchers at Karlsruhe Institute of Technology (KIT) have developed an AI model to predict how well patients with hip osteoarthritis will be able to walk again after an operation.
Not just linked to diabetes: For the first time, researchers demonstrated that insulin resistance is a risk factor for 12 types of cancer, including uterine and breast cancer.
Advances in artificial intelligence and multimodal data integration are poised to revolutionise cancer diagnostics – but significant challenges remain before these technologies can be routinely deployed in clinical practice. Professor Manuel Salto-Tellez outlined the steps needed to bridge the gap between complex tumour biology and the relatively simple biomarkers currently available, speaking…
An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.
