Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.
Journal
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
ISSN: 1550-9397
Titre abrégé: J Clin Sleep Med
Pays: United States
ID NLM: 101231977
Informations de publication
Date de publication:
15 04 2020
15 04 2020
Historique:
pubmed:
6
2
2020
medline:
24
6
2021
entrez:
6
2
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32022674
doi: 10.5664/jcsm.8288
pmc: PMC7161449
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
605-607Subventions
Organisme : NINDS NIH HHS
ID : R01 NS102190
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107291
Pays : United States
Informations de copyright
© 2020 American Academy of Sleep Medicine.
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