An AI foundation model extracted hidden physiological patterns from routine polysomnography and identified five patient groups with distinct long-term risks of mortality, cardiovascular disease, and neurological disorders. The approach outperformed apnea–hypopnea index severity categories for risk stratification and remained informative in an independent sleep cohort.
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