Wearable Artificial Intelligence for Sleep Disorders: Scoping Review
Wearable AI technology offers promising solutions for sleep disorders. These devices can be used for screening and diagnosis; however, research on wearable technology for sleep disorders other than sleep apnea remains limited. To statistically synthesize performance and efficacy results, more reviews are needed. Technology companies should prioritize advancements such as deep learning algorithms and invest in wearable AI for treating sleep disorders, given its potential. Further research is necessary to validate machine learning techniques using clinical data from wearable devices and to develop useful analytics for data collection, monitoring, prediction, classification, and recommendation in the context of sleep disorders.
Authors
- Arfan Ahmed (ORCID: https://orcid.org/0000-0002-4025-5767)
- Rawan AlSaad (ORCID: https://orcid.org/0000-0002-3235-0860)
- Leen A. Khalil (ORCID: https://orcid.org/0000-0003-2772-9814)
- Javaid I. Sheikh (ORCID: https://orcid.org/0000-0002-5762-4186)
- Sarah Aziz (ORCID: https://orcid.org/0000-0002-0861-9743)
- Mohannad Alajlani (ORCID: https://orcid.org/0000-0002-5691-7120)
- Reham Ahmad (ORCID: https://orcid.org/0009-0002-6433-8863)
- Alaa Abd‐Alrazaq (ORCID: https://orcid.org/0000-0001-7695-4626)
- Hania Aslam (ORCID: https://orcid.org/0009-0001-2088-9068)
- A. Ali (ORCID: https://orcid.org/0000-0001-7152-5654)
Institutions
- University of Warwick (GB)
- Hamad bin Khalifa University (QA)
- Weill Cornell Medical College in Qatar (QA)
- Qatar University (QA)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-06
- DOI
- https://doi.org/10.2196/65272
- Citations
- 9
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 10.48