AI in Healthcare
The latest on artificial intelligence transforming medicine
News stories discovered, structured, and analyzed by LLMs. Covering clinical deployments, research breakthroughs, regulation, and industry developments.
Stanford's SleepFM Predicts Over 100 Disease Risks from a Single Night's Sleep Data
Stanford Medicine researchers developed SleepFM, an AI model trained on nearly 600,000 hours of sleep data that can predict a person's risk for over 100 health conditions — including Parkinson's, dementia, and cancers — from one night of polysomnography.
How this works
Discover
An automated pipeline searches the web for significant AI healthcare news across clinical, research, regulatory, and industry domains.
Structure
Claude analyzes each source, extracts key information, and produces structured articles with categories, tags, and analytical context.
Publish
Stories are deduplicated, stored, and published to this site. The pipeline runs automatically to keep coverage current.