Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.

Journal: Sleep & breathing = Schlaf & Atmung
PMID:

Abstract

BACKGROUND: The past few years have seen a rapid emergence of artificial intelligence (AI)-enabled technology in the field of sleep medicine. AI refers to the capability of computer systems to perform tasks conventionally considered to require human intelligence, such as speech recognition, decision-making, and visual recognition of patterns and objects. The practice of sleep tracking and measuring physiological signals in sleep is widely practiced. Therefore, sleep monitoring in both the laboratory and ambulatory environments results in the accrual of massive amounts of data that uniquely positions the field of sleep medicine to gain from AI.

Authors

  • Anuja Bandyopadhyay
    Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA. anubandy@iupui.edu.
  • Cathy Goldstein
    Department of Neurology, University of Michigan, Ann Arbor, MI, USA.