AI-Driven Diagnostic Tools Advance Precision Sleep Medicine
Artificial intelligence (AI) is revolutionizing the diagnosis and understanding of sleep disorders, paving the way for precision sleep medicine. New AI-driven diagnostic tools are enabling more accurate and accessible detection and characterization of sleep disorders by automating the analysis of physiological signals such as EEG, oximetry, and cardiorespiratory data. These advancements allow for diagnoses from simpler recordings than traditional polysomnography, often in ambulatory and home settings. The focus is on developing, validating, and applying these tools to advance personalized, precision-based sleep care, ensuring they perform reliably across specific clinical or at-risk groups. This includes novel algorithms, robust validation studies, interpretability, and seamless integration into clinical workflows, moving from signal acquisition to diagnosis. 
