Introduction The landscape of sleep medicine is currently undergoing a significant transformation driven by the integration of artificial intelligence and machine learning. Historically, polysomnography has remained a labor-intensive endeavor, requiring specialized technicians to manually score hours of physiological data collected from patients overnight. This traditional process is not only time-consuming but also prone to inter-scorer […]
