Sleep tracking & wearables stories

AI Model Predicts Long-Term Health Risks from Routine Sleep Study Data

Researchers have developed an artificial intelligence foundation model that analyzes routine polysomnography data to identify patients' long-term health risks, with high-risk patients showing twice the mortality risk over five years compared to low-risk patients. The study, published in Nature Communications, demonstrates that sleep studies contain far more predictive health information than currently utilized by clinicians.