A newly developed foundation model analyzes standard polysomnogram data to identify patient groups with varying long-term health risks. Key takeaways:An AI model developed by a multidisciplinary team identifies hidden sleep patterns linked to heart disease, cognitive decline, and mortality. A novel artificial intelligence (AI) model can utilize information collected during routine sleep studies to identify patients’ long-term health risks, according to a new study published in Nature Communications. Developed by a multidisciplinary research team that included Cleveland Clinic, the model uncovered hidden sleep patterns linked to risks including heart disease, cognitive decline, and death. “Sleep is foundational to health and wellness,” says Matheus Lima Diniz Araujo, PhD, a sleep researcher at Cleveland Clinic, in a release.