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

Reviews in Digital Mental Health (260) Artificial Intelligence (1676) Chatbots and Conversational Agents (617) Generative Language Models Including ChatGPT (468) Methods and New Tools in Mental Health Research (497)

Published on in Vol 11 (2024)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57400, first published .
Large Language Models for Mental Health Applications: Systematic Review

Large Language Models for Mental Health Applications: Systematic Review

Large Language Models for Mental Health Applications: Systematic Review

Authors of this article:

Zhijun Guo1 Author Orcid Image ;   Alvina Lai1 Author Orcid Image ;   Johan H Thygesen1 Author Orcid Image ;   Joseph Farrington1 Author Orcid Image ;   Thomas Keen1, 2 Author Orcid Image ;   Kezhi Li1 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Tan K. Expanding the Reach of Mindfulness: A Mechanistic Approach and AI Applications. Mindfulness 2025;16(3):638 View
  2. Levkovich I. Evaluating Diagnostic Accuracy and Treatment Efficacy in Mental Health: A Comparative Analysis of Large Language Model Tools and Mental Health Professionals. European Journal of Investigation in Health, Psychology and Education 2025;15(1):9 View
  3. Malbos É. Réalité virtuelle, intelligence artificielle et métaverses en santé mentale. Soins Cadres 2025;34(157):33 View
  4. Mendel T, Singh N, Mann D, Wiesenfeld B, Nov O. Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study. Journal of Medical Internet Research 2025;27:e64290 View
  5. Kerr W, McFarlane K, Pucci G, Carns D, Israel A, Vighetti L, Pennell P, Stern J, Xia Z, Wang Y. Supervised machine learning compared to large language models for identifying functional seizures from medical records. Epilepsia 2025;66(4):1155 View
  6. Hasei J, Hanzawa M, Nagano A, Maeda N, Yoshida S, Endo M, Yokoyama N, Ochi M, Ishida H, Katayama H, Fujiwara T, Nakata E, Nakahara R, Kunisada T, Tsukahara H, Ozaki T. Empowering pediatric, adolescent, and young adult patients with cancer utilizing generative AI chatbots to reduce psychological burden and enhance treatment engagement: a pilot study. Frontiers in Digital Health 2025;7 View
  7. Meyerhoff J, Popowski S, Lakhtakia T, Tack E, Kornfield R, Kruzan K, Krause C, Nguyen T, Rushton K, Pisani A, Reddy M, Van Orden K, Mohr D. Automated Digital Safety Planning Interventions for Young Adults: Qualitative Study Using Online Co-design Methods. JMIR Formative Research 2025;9:e69602 View
  8. Chen B, Zheng W, Zhao L, Ding X. Leveraging large language models to assist philosophical counseling: prospective techniques, value, and challenges. Humanities and Social Sciences Communications 2025;12(1) View
  9. Nagpal R, Singh S, Moudgil A. A Deep Learning-Based Technique for Detection of Generalized Anxiety Disorder using CNN and ResNet-like Approach. Arabian Journal for Science and Engineering 2025 View
  10. Hasei J, Nakahara R, Takeuchi K, Yoshida A, Itano T, Fujiwara T, Nakata E, Kunisada T, Ozaki T. Comparative analysis of a standard (GPT-4o) and reasoning-enhanced (o1 pro) large language model on complex clinical questions from the Japanese orthopaedic board examination. Journal of Orthopaedic Science 2025 View
  11. Mahyoub M, Dougherty K, Shukla A. Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study. JMIR Medical Informatics 2025;13:e67706 View
  12. Takashiba S. Prospects for developing treatment support for periodontal disease based on the clinical database of the Japanese Society of Periodontology. Nihon Shishubyo Gakkai Kaishi (Journal of the Japanese Society of Periodontology) 2025;67(1):1 View

Conference Proceedings

  1. Sood P, He C, Gupta D, Ning Y, Wang P. 2024 IEEE International Conference on Big Data (BigData). Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models View