Accessibility settings

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

Clinical Mental Health Informatics (73) Scientometrics, Infometrics, and Altmetrics (127) mHealth for Screening (311) Depression and Mood Disorders; Suicide Prevention (1769) Diagnostic Tools in Mental Health (341) Machine Learning (2252) Artificial Intelligence (2377) Computer-Aided Diagnosis (281)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79293, first published .
AI Applications in Depression Detection and Diagnosis: Bibliometric and Visual Analysis of Trends and Future Directions

AI Applications in Depression Detection and Diagnosis: Bibliometric and Visual Analysis of Trends and Future Directions

AI Applications in Depression Detection and Diagnosis: Bibliometric and Visual Analysis of Trends and Future Directions

Authors of this article:

Wenbo Ren1 Author Orcid Image ;   Xiali Xue2 Author Orcid Image ;   Lu Liu3 Author Orcid Image ;   Jiahuan Huang4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Morales Corozo J, Mero Salazar D, Varela Cevallos I. MODELAMIENTO PREDICTIVO DE ANSIEDAD Y DEPRESIÓN EN ESTUDIANTES UNIVERSITARIOS MEDIANTE TÉCNICAS MATEMÁTICAS. VitalyScience Revista Científica Multidisciplinaria 2026;4(9):82 View
  2. Thanapaul R, Govindarajulu M, Pundkar C, Arun P. Pathophysiology-guided biomarkers and therapeutics for precision trauma medicine in polytrauma with musculoskeletal injuries. Military Medical Research 2026;13(1):100014 View
  3. Shao D, Shao L, Kou Z. A Data-Driven Analysis of Artificial Intelligence Applications in Depression Research: 2020-2025. Asian Journal of Psychiatry 2026:104978 View