Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine

dc.contributor.authorBandyopadhyay, Anuja
dc.contributor.authorBae, Charles
dc.contributor.authorCheng, Hao
dc.contributor.authorChiang, Ambrose
dc.contributor.authorDeak, Maryann
dc.contributor.authorSeixas, Azizi
dc.contributor.authorSingh, Jaspal
dc.contributor.departmentPediatrics, School of Medicine
dc.date.accessioned2024-11-11T19:12:36Z
dc.date.available2024-11-11T19:12:36Z
dc.date.issued2023
dc.description.abstractSince the publication of its 2020 position statement on artificial intelligence (AI) in sleep medicine by the American Academy of Sleep Medicine, there has been a tremendous expansion of AI-related software and hardware options for sleep clinicians. To help clinicians understand the current state of AI and sleep medicine, and to further enable these solutions to be adopted into clinical practice, a discussion panel was conducted on June 7, 2022, at the Associated Professional Sleep Societies Sleep Conference in Charlotte, North Carolina. The article is a summary of key discussion points from this session, including aspects of considerations for the clinician in evaluating AI-enabled solutions including but not limited to what steps might be taken both by the Food and Drug Administration and clinicians to protect patients, logistical issues, technical challenges, billing and compliance considerations, education and training considerations, and other unique challenges specific to AI-enabled solutions. Our summary of this session is meant to support clinicians in efforts to assist in the clinical care of patients with sleep disorders utilizing AI-enabled solutions.
dc.eprint.versionFinal published version
dc.identifier.citationBandyopadhyay A, Bae C, Cheng H, et al. Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine. J Clin Sleep Med. 2023;19(10):1823-1833. doi:10.5664/jcsm.10702
dc.identifier.urihttps://hdl.handle.net/1805/44482
dc.language.isoen_US
dc.publisherAmerican Academy of Sleep Medicine
dc.relation.isversionof10.5664/jcsm.10702
dc.relation.journalJournal of Clinical Sleep Medicine
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectAI-enabled solutions
dc.subjectClinical sleep medicine
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.titleSmart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine
dc.typeArticle
ul.alternative.fulltexthttps://pmc.ncbi.nlm.nih.gov/articles/PMC10545999/
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