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Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.
- Source :
-
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2023 Oct 01; Vol. 19 (10), pp. 1823-1833. - Publication Year :
- 2023
-
Abstract
- Since 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.<br />Citation: Bandyopadhyay 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.<br /> (© 2023 American Academy of Sleep Medicine.)
Details
- Language :
- English
- ISSN :
- 1550-9397
- Volume :
- 19
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 37394867
- Full Text :
- https://doi.org/10.5664/jcsm.10702