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

Digital Health Reviews (1186) Reviews in Digital Mental Health (227) Computer-Aided Diagnosis (97) Machine Learning (1384) Diagnostic Tools in Mental Health (220) Anxiety and Stress Disorders (1005) mHealth for Data Collection and Research (914) Mobile Health (mhealth) (2765) Decision Support for Health Professionals (1137) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) Wearable Devices and Sensors (818)

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

Authors of this article:

Alaa Abd-alrazaq1 Author Orcid Image ;   Rawan AlSaad1 Author Orcid Image ;   Manale Harfouche2, 3 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Rafat Damseh4 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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