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.
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.
When radiologists at Stockholm's Capio Sankt Görans Hospital began working evenings and weekends to clear mounting backlogs, it became clear that something had to change. The solution? Replacing one of the two radiologists traditionally assigned to read breast cancer screenings with artificial intelligence (AI). The results: fewer false positives, more cancers detected, and radiologists…
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common AI labeling errors in large collections of radiology images.
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.
Artificial intelligence is reshaping how clinicians identify women at higher risk of breast cancer – and may soon guide decisions on supplemental screening and treatment. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, two experts presented their latest findings on AI-driven risk stratification and response prediction.
Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.
A novel AI-based method can distinguish between progressive brain tumours and radiotherapy-induced necrosis on advanced MRI. This could help clinicians more accurately identify and treat the issues.
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.
Facing a mental health crisis, more and more people turn to chatbots and AI characters. While they offer new possibilities, they also pose great risks, especially for vulnerable users, experts warn.
At the RSNA 2025 annual meeting, Royal Philips has announced the expanded commercial availability of their LumiGuide 3D Device Guidance system for light-based navigation.
At this year’s RSNA annual meeting, Siemens Healthineers is presenting its new AI-powered solution for imaging procedures, called Optiq AI, designed to deliver higher quality low-dose images.
What have been the latest developments in digital R&D and lab automation, patient-centric design, digitalised manufacturing and supply chains? Highlighting the rise of a smart pharma, AUTOMA+ 2025 took place in Vösendorf, Austria on 24-25 November. The event was a dynamic interplay of technology, solutions and forward-thinking ideas.
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.
Philips and Cortechs.ai have extended their collaboration to integrate AI-enabled quantitative neuroimaging analytics directly into MR systems. The partnership aims to provide radiologists with automated, objective measurements of brain structures and lesions to support diagnosis and monitoring of neurological conditions.
