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

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
  4. Wilhelmy S, Giupponi G, Groß D, Eisendle K, Conca A. A shift in psychiatry through AI? Ethical challenges. Annals of General Psychiatry 2023;22(1) View
  5. Grzenda A, Widge A. Electronic health records and stratified psychiatry: bridge to precision treatment?. Neuropsychopharmacology 2024;49(1):285 View
  6. Douet Vannucci V, Marchand T, Hennequin A, Caci H, Staccini P. The EPIDIA4Kids protocol for a digital epidemiology study on brain functioning in children, based on a multimodality biometry tool running on an unmodified tablet. Frontiers in Public Health 2023;11 View
  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