AI Model Uncovers Hidden Health Risks in Routine Sleep Studies

A newly developed foundation model analyzes standard polysomnogram data to identify patient groups with varying long-term health risks. An AI model developed by a multidisciplinary team identifies hidden sleep patterns linked to heart disease, cognitive decline, and mortality. The model categorizes patients into risk groups, with the highest-risk group showing twice the five-year mortality risk compared to the lowest—a distinction missed by the standard apnea-hypopnea index. The…