Standalone pieces alongside the course: studies explained, regulatory changes, and tools looked at without endorsement. Each article carries its review date and sources.
Most AI software that qualifies as a medical device will be a high-risk AI system under the EU AI Act. The 2026 Digital Omnibus moved the start date for those duties to 2 August 2028. Here is what applies already, what is coming, and what developers and hospitals should do now.
Language models can pass medical exams, but can they help ordinary people decide what is wrong and what to do? A preregistered randomised study published in Nature Medicine in 2026 tested exactly that, and the answer was sobering.
In September 2026 the UK's National Commission into the Regulation of AI in Healthcare published 44 recommendations; in October the government accepted them all. Here is what they cover and the timetable that follows.
AI tools for retinopathy screening, risk prediction, CGM analysis and documentation are increasingly offered to diabetes services. These twelve questions, drawn from the evidence in this course, help decide whether a tool is ready for your patients.
A practising physician's view on where AI helps, where it doesn't yet, and what to ask before using it.
Educational content only. This material teaches methods; it is not clinical advice. Code, models and examples here are not validated medical devices and must not be used to make decisions about real patients without proper clinical validation, governance and any required regulatory approval. Examples use synthetic or openly licensed de-identified data only. Never paste identifiable patient information into public AI tools. Mentions of models, tools or vendors are for identification, not endorsement.