Researchers at Stanford Medicine have developed an artificial intelligence model capable of predicting a person's risk of developing more than 100 diseases using data from just one night's sleep.
The AI system, known as SleepFM, was trained on nearly 600,000 hours of sleep data collected from about 65,000 participants, according to a study published in . The dataset includes a wide range of physiological signals recorded during sleep, such as brain activity, heart rate, breathing patterns, eye movements, and muscle activity.
Stanford Medicine said the model is among the first AI systems designed to analyse sleep as a comprehensive indicator of long-term health risk, rather than focusing on individual organs or conditions.
