AI Sleep Model Uncovers Hidden Health Risks of Apnea
Researchers have developed an artificial intelligence model that decodes neural, cardiac, and respiratory signals from routine sleep studies to identify high-risk patients that conventional apnea measurements miss, according to a study published in Nature Communications. Sleep disorders affect nearly one billion adults globally, making accurate long-risk stratification an urgent priority for healthcare systems. Limitations of … Read more