This paper is in the following e-collection/theme issue:

Digital Health Reviews (1618) Machine Learning (1878) Anxiety and Stress Disorders (1256) Wearable Devices and Sensors (1055) Mobile Health (mhealth) (3287) Artificial Intelligence (1905) AI Applications in Biomedical Engineering (11)

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

Authors of this article:

Alaa Abd-alrazaq1 Author Orcid Image ;   Mohannad Alajlani2 Author Orcid Image ;   Reham Ahmad2 Author Orcid Image ;   Rawan AlSaad1 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Mohammed Alsahli3 Author Orcid Image ;   Rafat Damseh4 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

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