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Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.
- Source :
-
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2024 Jul 01; Vol. 20 (7), pp. 1183-1191. - Publication Year :
- 2024
-
Abstract
- Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple domains. Sleep medicine is perfectly positioned to leverage this tool due to the wealth of physiological signals obtained through sleep studies or sleep tracking devices and abundance of accessible clinical data through electronic medical records. However, caution must be applied when utilizing AI, due to intrinsic challenges associated with novel technology. The Artificial Intelligence in Sleep Medicine Committee of the American Academy of Sleep Medicine reviews advancements in AI within the sleep medicine field. In this article, the Artificial Intelligence in Sleep Medicine committee members provide a commentary on the scope of AI technology in sleep medicine. The commentary identifies 3 pivotal areas in sleep medicine that can benefit from AI technologies: clinical care, lifestyle management, and population health management. This article provides a detailed analysis of the strengths, weaknesses, opportunities, and threats associated with using AI-enabled technologies in each pivotal area. Finally, the article broadly reviews barriers and challenges associated with using AI-enabled technologies and offers possible solutions.<br />Citation: Bandyopadhyay A, Oks M, Sun H, et al. Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary. J Clin Sleep Med . 2024;20(7):1183-1191.<br /> (© 2024 American Academy of Sleep Medicine.)
- Subjects :
- Humans
Artificial Intelligence
Sleep Medicine Specialty methods
Subjects
Details
- Language :
- English
- ISSN :
- 1550-9397
- Volume :
- 20
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 38533757
- Full Text :
- https://doi.org/10.5664/jcsm.11132