Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-consuming, and challenging to repeat. Therefore, there is an increasing demand for using technologies capable of providing objective and early detection of anxiety. Wearable artificial intelligence (AI), the combination of AI technology and wearable devices, has been widely used to detect and predict anxiety disorders automatically, objectively, and more efficiently.

Authors

  • Alaa Abd-Alrazaq
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Rawan AlSaad
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Manale Harfouche
    Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.
  • Sarah Aziz
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Arfan Ahmed
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Rafat Damseh
  • Javaid Sheikh
    AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.