Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52622, first published .
The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis

The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis

The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis

Alaa Abd-alrazaq   1 , PhD ;   Mohannad Alajlani   2 , PhD ;   Reham Ahmad   2 , MSc ;   Rawan AlSaad   1 , PhD ;   Sarah Aziz   1 , MSc ;   Arfan Ahmed   1 , PhD ;   Mohammed Alsahli   3 , PhD ;   Rafat Damseh   4 , PhD ;   Javaid Sheikh   1 , MD

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

2 Institute of Digital Healthcare, WMG, University of Warwick, Warwick, United Kingdom

3 Health Informatics Department, College of Health Science, Saudi Electronic University, Riyadh, Saudi Arabia

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
  • Qatar Foundation
  • PO Box 5825, Doha Al Luqta St, Ar-Rayyan
  • Doha, 2442
  • Qatar
  • Phone: 974 5570845212
  • Email: Aaa4027@qatar-med.cornell.edu