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. 2020 Apr 15;16(4):605-607.
doi: 10.5664/jcsm.8288.

Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement

Cathy A Goldstein  1 , Richard B Berry  2 , David T Kent  3 , David A Kristo  4 , Azizi A Seixas  5 , Susan Redline  6 , M Brandon Westover  7 , Fariha Abbasi-Feinberg  8 , R Nisha Aurora  9 , Kelly A Carden  10 , Douglas B Kirsch  11 , Raman K Malhotra  12 , Jennifer L Martin  13   14 , Eric J Olson  15 , Kannan Ramar  15 , Carol L Rosen  16 , James A Rowley  17 , Anita V Shelgikar  1
Affiliations

Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement

Cathy A Goldstein et al. J Clin Sleep Med. .

Abstract

Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associated events during polysomnography (PSG). This position statement outlines the potential opportunities and limitations of integrating artificial intelligence (AI) into the practice of sleep medicine. Additionally, although the most apparent and immediate application of AI in our field is the assisted scoring of PSG, we propose potential clinical use cases that transcend the sleep laboratory and are expected to deepen our understanding of sleep disorders, improve patient-centered sleep care, augment day-to-day clinical operations, and increase our knowledge of the role of sleep in health at a population level.

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