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.
Digital pathology and spatial omics could enable researchers to see how a tumor's different cell populations function, opening new perspectives for precision cancer therapy.
Perfectly viable medical devices disappearing from the European market, manufacturers walking away from the EU rather than navigating regulatory demands, patients losing access to products with long, well-documented safety records. The implementation process for the MDR and IVDR has been challenging, to put it mildly – and the journey is far from over. Ahead of the EAAR’s MDR/IVDR Summit…
A research team has developed a new method that directly optimizes the thickness of a 3D-printed lens to simultaneously and precisely stimulate multiple regions of the brain.
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.
How can innovative technology help solve the most urgent needs in medicine? At the Medical Taiwan 2026 health and care expo in Taipei, leading manufacturers, international experts and decision-makers offered a promising glimpse into the healthcare systems of tomorrow – technology-driven, AI-enhanced and highly efficient, but also personalised and deeply humane at its core.
A newly developed AI system analyzes surgeons’ techniques during prostate cancer surgery, helping identify the surgical movements associated with the best patient outcomes.
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.
FLock.io has been spotlighted by the World Economic Forum (WEF)’s MINDS programme for two NHS trusts using its privacy-preserving AI to tackle major diseases. Both trusts use its federated learning platform to train clinical models while maintaining 100% data sovereignty.
Researchers have developed an AI technology that analyzes daily activity and environmental data from older adults to identify digital behavioral markers of cerebrovascular disease risk at home.
A multicenter randomized clinical trial shows that real-time AI-assisted colonoscopy significantly improves adenoma detection among individuals at high risk for colorectal cancer.
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.
Why do patients discontinue their medication? Using large language models, researchers analysed medical records to assess the most common reasons. This could help better understand treatment pathways.
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…
AI models can now assess breast cancer risk directly from changes in screening mammograms over time, a new study shows. This opens the door to a new era of dynamic breast cancer risk assessment.
AI is transforming the way cancer is diagnosed and treated. Dr Yuri Tolkach shared his group's advances in developing AI-based tools for oncological pathology at the DPAI Europe congress.
"Let's book you in": AI chatbots are generally seen as a welcome tool for managing medical screening appointments. However, too much of a good thing can backfire, a new study finds.
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.
A new AI model enables more efficient analysis of tissue samples taken from colorectal cancer tumours. This can help shorten diagnosis times, reduce costs, and improve diagnostic accuracy.
