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

Theme Issue 2023 - 2024 : Responsible Design, Integration, and Use of Generative AI in Mental Health (16) Artificial Intelligence (2129) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58129, first published .
Large Language Models Versus Expert Clinicians in Crisis Prediction Among Telemental Health Patients: Comparative Study

Large Language Models Versus Expert Clinicians in Crisis Prediction Among Telemental Health Patients: Comparative Study

Large Language Models Versus Expert Clinicians in Crisis Prediction Among Telemental Health Patients: Comparative Study

Authors of this article:

Christine Lee1 Author Orcid Image ;   Matthew Mohebbi1 Author Orcid Image ;   Erin O'Callaghan1 Author Orcid Image ;   Mirène Winsberg1 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Workman T, Ahmed A, Sheriff H, Raman V, Zhang S, Shao Y, Faselis C, Fonarow G, Zeng-Treitler Q. ChatGPT-4 extraction of heart failure symptoms and signs from electronic health records. Progress in Cardiovascular Diseases 2024 View
  2. Asman O, Torous J, Tal A. Responsible Design, Integration, and Use of Generative AI in Mental Health. JMIR Mental Health 2025;12:e70439 View
  3. Jin Y, Liu J, Li P, Wang B, Yan Y, Zhang H, Ni C, Wang J, Li Y, Bu Y, Wang Y. The Applications of Large Language Models in Mental Health: Scoping Review. Journal of Medical Internet Research 2025;27:e69284 View
  4. Kwan H, Shell J, Fahy C, Yang S, Xing Y. Integrating Large Language Models into Medication Management in Remote Healthcare: Current Applications, Challenges, and Future Prospects. Systems 2025;13(4):281 View
  5. Torous J, Linardon J, Goldberg S, Sun S, Bell I, Nicholas J, Hassan L, Hua Y, Milton A, Firth J. The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry 2025;24(2):156 View
  6. Scholich T, Barr M, Wiltsey Stirman S, Raj S. A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study. JMIR Mental Health 2025;12:e69709 View
  7. Wang X, Zhou Y, Zhou G. The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review. JMIR Mental Health 2025;12:e70610 View
  8. Villanueva-Miranda I, Xie Y, Xiao G. Sentiment analysis in public health: a systematic review of the current state, challenges, and future directions. Frontiers in Public Health 2025;13 View
  9. Thotapalli S, Yilanli M, McKay I, Leever W, Youngstrom E, Harvey‐Nuckles K, Lowder K, Schweitzer S, Sunderland E, Jackson D, Sezgin E. Potential of ChatGPT in youth mental health emergency triage: Comparative analysis with clinicians. Psychiatry and Clinical Neurosciences Reports 2025;4(3) View
  10. Holley D, Daly B, Beverly B, Wamsley B, Brooks A, Zaubler T. Evaluating Generative Pretrained Transformer (GPT) models for suicide risk assessment in synthetic patient journal entries. BMC Psychiatry 2025;25(1) View
  11. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  12. Thomas J, Elyoseph Z, Kuchinke L, Meinlschmidt G. Large language model performance versus human expert ratings in automated suicide risk assessment. Scientific Reports 2025;15(1) View
  13. Plank L, Zlomuzica A. Detecting psychosis via natural language processing of social media posts: potentials and pitfalls. Neuropsychologia 2026;221:109325 View

Conference Proceedings

  1. Zayan S, Attallah O, Fayed H. 2025 International Telecommunications Conference (ITC-Egypt). Dual System With Large Language Models for Detecting and Supporting Low Confidence in Young Social Media Users View