Wearable Artificial Intelligence for Sleep Disorders: Scoping Review.

Journal: Journal of medical Internet research
PMID: 40327852

Abstract

BACKGROUND: Worldwide, 30%-45% of adults have sleep disorders, which are linked to major health issues such as diabetes and cardiovascular disease. Long-term monitoring with traditional in-lab testing is impractical due to high costs. Wearable artificial intelligence (AI)-powered solutions offer accessible, scalable, and continuous monitoring, improving the identification and treatment of sleep problems.

Authors

  • Sarah Aziz
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Amal A M Ali
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Hania Aslam
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Alaa A Abd-Alrazaq
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Rawan AlSaad
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Mohannad Alajlani
    Institute of Digital Healthcare, University of Warwick, Warwick, United Kingdom.
  • Reham Ahmad
    Institute of Digital Healthcare, University of Warwick, Warwick, United Kingdom.
  • Laila Khalil
    Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Arfan Ahmed
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Javaid Sheikh
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.

Keywords

External Resources

Popular Topics
Recent Journals