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

Digital Health Reviews (1724) Reviews in Digital Mental Health (289) Computer-Aided Diagnosis (251) Machine Learning (2076) Diagnostic Tools in Mental Health (326) Anxiety and Stress Disorders (1330) mHealth for Data Collection and Research (1196) Mobile Health (mhealth) (3464) Decision Support for Health Professionals (1539) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Wearable Devices and Sensors (1133)

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 (20) Tweetations (3) Metrics

Journals

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  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
  6. Alkurdi A, Clore J, Sowers R, Hsiao-Wecksler E, Hernandez M. Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors. Applied Sciences 2024;15(1):88 View
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  8. Khan M. Artificial Intelligence, Robots, Augmented, and Virtual Reality-Based Digital Modalities for Managing Anxiety and Uncooperative Behavior of Pediatric Dentistry Patients: Comprehensive Review. Archives of Medicine and Health Sciences 2025 View
  9. Bal F. Artificial Intelligence and Psychotherapy. Psikiyatride Güncel Yaklaşımlar 2025;17(4):643 View
  10. Xu Z, Liu G, Zhao G, Zhang Z, Li C, Wang C. A Topic-Guided Self-Attention Network for Daily Mental Wellbeing Prediction Using Mobile Devices. IEEE Transactions on Affective Computing 2025;16(2):783 View
  11. Singh P, Gupta A, Kumar M, Singh P. AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(3):1 View
  12. Taskynbayeva M, Gutoreva A. Machine learning approaches to anxiety detection: trends, model evaluation, and future directions. Frontiers in Artificial Intelligence 2025;8 View
  13. Mikaeili N, Naeim M, Narimani M. Reimagining Mental Health with Artificial Intelligence: Early Detection, Personalized Care, and a Preventive Ecosystem. Journal of Multidisciplinary Healthcare 2025;Volume 18:7355 View
  14. Oleh U, Obermaisser R. Recognition of Anxiety-Related Activities using 1DCNNBiLSTM on Sensor Data from a Commercial Wearable Device. Procedia Computer Science 2025;272:351 View

Books/Policy Documents

  1. Salice F, Maggi M, Varesi A, Masciadri A, Comai S. Computers Helping People with Special Needs. View
  2. Ghosh R, Singh G, Sharma N. Harnessing AI and Machine Learning for Precision Wellness. View
  3. Çapar H. Global Trends and Policy Impacts in Home Healthcare. View
  4. Halder S, Halder B, Mahato A. Navigating AI in Mental Health Care. View

Conference Proceedings

  1. Schneider P, Mikołajewski D, Bryniarska A, Igras-Cybulska M, Cybulski A, Marcinowicz W, Janiszewski M, Kawala-Sterniuk A. 2024 Progress in Applied Electrical Engineering (PAEE). Methods and tools for automatic or semi-automatic recognition of selected emotions using machine learning algorithms View
  2. Qu J, Li Q, Li X, Xiao H. Proceedings of the 2024 5th International Conference on Intelligent Medicine and Health. Daily Emotion Recognition from Physiological and Environmental Data using Wearable Devices View