Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48754, first published .
Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis

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

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

Alaa Abd-alrazaq   1 , PhD ;   Rawan AlSaad   1 , PhD ;   Manale Harfouche   2, 3 , MSc ;   Sarah Aziz   1 , MSc ;   Arfan Ahmed   1 , PhD ;   Rafat Damseh   4 , PhD ;   Javaid Sheikh   1 , PhD

1 AI Center for Precision Health, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar

2 Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar

3 World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar

4 Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates

Corresponding Author:

  • Alaa Abd-alrazaq, PhD
  • AI Center for Precision Health
  • Weill Cornell Medicine-Qatar
  • Cornell University, Qatar Foundation - Education City
  • Ezdan street
  • Doha, M343A8
  • Qatar
  • Phone: 974 44928812
  • Email: aaa4027@qatar-med.cornell.edu