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.
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.
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.
Why do some tumours spread while others remain localised? Using colon cancer cells, scientists pinpointed the criteria that influence metastasis risk, and identified a way to assess its probability.
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…
The Kraft Center for Community Health has launched a new prize to recognise organisations using technology to transform healthcare access for underserved populations. At the 2025 World Medical Innovation Forum in Boston, ThriveLink – an AI-powered telephonic enrolment platform – was announced as the inaugural winner, receiving US $100,000 to further its mission of connecting families to vital…
A wearable, comfortable and washable device could help people regain the ability to communicate naturally and fluently following a stroke, without the need for invasive brain implants.
Siemens Healthineers, with funding from the Gates Foundation, plans to develop artificial intelligence (AI) to enable earlier prediction of pre-eclampsia and anemia in low-resource settings.
In today’s radiology environment, speed alone is not enough. What truly matters is intelligent workflow, diagnostic confidence and consistent performance even under pressure. Samsung’s GC85A Vision+ is designed exactly for that reality.
