Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine.
Published online as an accepted paper in the Journal of Clinical Sleep Medicine, the position statement was developed by the AASM’s Artificial Intelligence in Sleep Medicine Committee. According to the statement, the electrophysiological data collected during polysomnography — the most comprehensive type of sleep study — is well-positioned for enhanced analysis through AI and machine-assisted learning.
