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

Digital Health Reviews (1289) Reviews in Digital Mental Health (243) Computer-Aided Diagnosis (128) Machine Learning (1465) Diagnostic Tools in Mental Health (242) Anxiety and Stress Disorders (1053) mHealth for Data Collection and Research (955) Mobile Health (mhealth) (2939) Decision Support for Health Professionals (1185) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Wearable Devices and Sensors (888)

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 (7) Tweetations (3) Metrics

Journals

  1. Bekbolatova M, Mayer J, Ong C, Toma M. Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare 2024;12(2):125 View
  2. Abd-alrazaq A, Alajlani M, Ahmad R, AlSaad R, Aziz S, Ahmed A, Alsahli M, Damseh R, Sheikh J. The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e52622 View
  3. Izu L, Scholtz B, Fashoro I. Wearables and Their Potential to Transform Health Management: A Step towards Sustainable Development Goal 3. Sustainability 2024;16(5):1850 View
  4. Das K, Gavade P. A review on the efficacy of artificial intelligence for managing anxiety disorders. Frontiers in Artificial Intelligence 2024;7 View
  5. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View

Books/Policy Documents

  1. Salice F, Maggi M, Varesi A, Masciadri A, Comai S. Computers Helping People with Special Needs. View