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

Reviews in Digital Mental Health (228) Artificial Intelligence (1214) Artificial Intelligence (122) Methods and New Tools in Mental Health Research (428)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42045, first published .
Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Authors of this article:

Roberto Tornero-Costa1 Author Orcid Image ;   Antonio Martinez-Millana1 Author Orcid Image ;   Natasha Azzopardi-Muscat2 Author Orcid Image ;   Ledia Lazeri2 Author Orcid Image ;   Vicente Traver1 Author Orcid Image ;   David Novillo-Ortiz2 Author Orcid Image
Article Authors Cited by (20) Tweetations (35) Metrics

Journals

  1. Lagera P, Chan S, Yellowlees P. Asynchronous Technologies in Mental Health Care and Education. Current Treatment Options in Psychiatry 2023;10(2):59 View
  2. Bhugra D, Smith A, Ventriglio A, Hermans M, Ng R, Javed A, Chumakov E, Kar A, Ruiz R, Oquendo M, Chisolm M, Werneke U, Suryadevara U, Jibson M, Hobbs J, Castaldelli-Maia J, Nair M, Seshadri S, Subramanyam A, Patil N, Chandra P, Liebrenz M. World Psychiatric Association-Asian Journal of Psychiatry Commission on Psychiatric Education in the 21st century. Asian Journal of Psychiatry 2023;88:103739 View
  3. Espejo G, Reiner W, Wenzinger M. Exploring the Role of Artificial Intelligence in Mental Healthcare: Progress, Pitfalls, and Promises. Cureus 2023 View
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  7. Ettman C, Galea S. The Potential Influence of AI on Population Mental Health. JMIR Mental Health 2023;10:e49936 View
  8. Sethi M, Kumar C, Math S. The Vanguard of Psychiatry: Artificial Intelligence as a Catalyst for Change. Journal of Psychiatry Spectrum 2024;3(1):1 View
  9. Singh R, Nayak N, Behl T, Arora R, Anwer M, Gulati M, Bungau S, Brisc M. Exploring the Intersection of Geophysics and Diagnostic Imaging in the Health Sciences. Diagnostics 2024;14(2):139 View
  10. Lee D, Kim N, Park C, Gan S, Son S, Park R, Park B. Explainable multimodal prediction of treatment-resistance in patients with depression leveraging brain morphometry and natural language processing. Psychiatry Research 2024;334:115817 View
  11. DelPozo-Banos M, Stewart R, John A. Machine learning in mental health and its relationship with epidemiological practice. Frontiers in Psychiatry 2024;15 View
  12. Norris M, Obeid N, El‐Emam K. Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders. International Journal of Eating Disorders 2024;57(6):1357 View
  13. Naidu P, Ruchitha M, Yaswanth P, Harika B, Prabhu P, Deepthi Sree G. Mental Health Detection using Machine Learning. International Journal of Innovative Science and Research Technology (IJISRT) 2024:760 View
  14. Cleary M, Kornhaber R, Le Lagadec D, Stanton R, Hungerford C. Artificial Intelligence in Mental Health Research: Prospects and Pitfalls. Issues in Mental Health Nursing 2024:1 View
  15. Park Y, Park S, Lee M. Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review. Journal of Affective Disorders 2024;361:445 View
  16. Alibudbud R, Aruta J, Sison K, Guinto R. Artificial intelligence in the era of planetary health: insights on its application for the climate change-mental health nexus in the Philippines. International Review of Psychiatry 2024:1 View
  17. Striegl J, Richter J, Grossmann L, Bråstad B, Gotthardt M, Rück C, Wallert J, Loitsch C. Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy. PeerJ Computer Science 2024;10:e2104 View
  18. Hall C, Gómez Bergin A, Rennick-Egglestone S. Research into digital health intervention for mental health: a 25-year retrospective on the ethical and legal challenges (Preprint). Journal of Medical Internet Research 2024 View
  19. van Maurik I, Doodeman H, Veeger-Nuijens B, Möhringer R, Sudiono D, Jongbloed W, van Soelen E. Targeted development and validation of clinical prediction models in secondary care settings – opportunities and challenges for electronic health records data (Preprint). JMIR Medical Informatics 2024 View