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.
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.
Artificial intelligence (AI) is transforming healthcare, but it also introduces new cybersecurity risks that challenge IT teams. While AI streamlines diagnosis and workflow, cybercriminals are leveraging the same technology to infiltrate hospital systems. Experts addressed these emerging threats and strategies for resilience during the ‘Maximising What You Have for Cyber Resilience – Ask the…
Today, language barriers in healthcare can be easily overcome – leading to improved patient care. Pocketalk, the global leader in translation hardware, software, and integration, delivers accurate, mobile, and secure translations that exceed industry security standards.
A new study shows how AI could transform medical education, while calling for stronger collaboration across schools, hospitals, and regulators to make it safe, responsible, and effective.
People facing a mental health crisis increasingly turn to AI chatbots and wellness apps for emotional support. However, these tools alone do not have what it takes, according to a new health advisory.
In a CT scan of the lungs, accidentally inhaled objects can be extremely subtle and easy to miss, even for experienced clinicians. A new AI model acts as a “second set of eyes” to help detect hidden cases.
Europe’s healthcare systems face growing pressure: fewer staff, higher infection-control demands, and increased documentation. Estonia is already built for this. With 99% of health data digital, digital trust is built into everyday healthcare – giving Estonian companies a strong foundation for efficient collaboration, fast traceability, and AI-supported operations.
Researchers developed an AI-assisted brain atlas for visualization at microscopic detail using MRI scans. The tool could transform early detection of Alzheimer's and other neurological diseases.
A biosensor that identifies volatile organic compounds (VOCs) in exhaled breath could be used in conjunction with AI to detect various thoracic cancers including lung cancer.
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.
Developmental dysplasia of the hip occurs in 2-4% of infants, but screening via ultrasound is notoriously hard to master. An AI-assisted application could prevent many unnecessary hospital referrals.
