Stanford’s AI spots hidden disease warnings that show up while you sleep

A restless night often leads to fatigue the next day, but it may also signal health problems that emerge much later. Scientists at Stanford Medicine and their collaborators have developed an artificial intelligence system that can examine body signals from a single night of sleep and estimate a person's risk of developing more than 100 different medical conditions.

The system, called SleepFM, was trained using almost 600,000 hours of sleep recordings from 65,000 individuals. These recordings came from polysomnography, an in-depth sleep test that uses multiple sensors to track brain activity, heart function, breathing patterns, eye movement, leg motion, and other physical signals during sleep ...