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

Reviews in Digital Mental Health (587) Depression and Mood Disorders; Suicide Prevention (2553) Wearable Devices and Sensors (1680) Artificial Intelligence (5113)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85319, first published .
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The Performance of Wearable Device–Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis

The Performance of Wearable Device–Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis

Authors of this article:

Jiawen Liu1, 2 Author Orcid Image ;   Junhui Wang3 Author Orcid Image ;   Zhaobin Wu4 Author Orcid Image ;   Mohamad Ibrani Shahrimin Bin Adam Assim2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Masood F. AI-enabled psychometric and psychophysiological assessment in psychiatric comorbidity of oncology patients: A systematic review. Journal of Psychosocial Oncology 2026;44(6):713 View
  2. Davoudi Z, Roostaee M, Aghajani K. From ensembles to knowledge-augmented reasoning: Information fusion for depression detection in the generative AI era. Informatics in Medicine Unlocked 2026;64:101781 View
  3. Carrioli O, Bruce L, Kriplani S, Schaap T, Stewart C, Smarr B. Wearable sensors offer opportunities for phenotyping perinatal mood disorders: a narrative review. Reproduction 2026;172(4) View

Conference Proceedings

  1. Kadian I, Shally , Bajaj A, Sehgal M, Garg P, Makkar R, Gupta S. 2026 1st International Conference on Computational Intelligence: Methods, Models, and Real-World Applications (ICCIMMR). A Survey on the Role of Artificial Intelligence in Managing Anxiety and Depression View