Published on in Vol 10 (2023)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51232, first published .
Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study

Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study

Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study

Authors of this article:

Inbar Levkovich1 Author Orcid Image ;   Zohar Elyoseph2, 3 Author Orcid Image

Journals

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  2. Elyoseph Z, Refoua E, Asraf K, Lvovsky M, Shimoni Y, Hadar-Shoval D. Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study. JMIR Mental Health 2024;11:e54369 View
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  5. Elyoseph Z, Levkovich I, Shinan-Altman S. Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public. Family Medicine and Community Health 2024;12(Suppl 1):e002583 View
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  9. Elyoseph Z, Levkovich I. Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study. JMIR Mental Health 2024;11:e53043 View
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  11. Hadar-Shoval D, Asraf K, Mizrachi Y, Haber Y, Elyoseph Z. Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values. JMIR Mental Health 2024;11:e55988 View
  12. Haber Y, Levkovich I, Hadar-Shoval D, Elyoseph Z. The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy. JMIR Mental Health 2024;11:e54781 View
  13. Shinan-Altman S, Elyoseph Z, Levkovich I. The impact of history of depression and access to weapons on suicide risk assessment: a comparison of ChatGPT-3.5 and ChatGPT-4. PeerJ 2024;12:e17468 View
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  18. Elyoseph Z, Gur T, Haber Y, Simon T, Angert T, Navon Y, Tal A, Asman O. An Ethical Perspective on the Democratization of Mental Health With Generative AI. JMIR Mental Health 2024;11:e58011 View
  19. Yilmaz Muluk S, Olcucu N. The Role of Artificial Intelligence in the Primary Prevention of Common Musculoskeletal Diseases. Cureus 2024 View
  20. Lian C, Yuan X, Chokkakula S, Wang G, Song B, Wang Z, Fan G, Yin C. Assessing the ChatGPT aptitude: A competent and effective Dermatology doctor?. Heliyon 2024;10(17):e37220 View
  21. Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries J, Wornow M, Swaminathan A, Lehmann L, Hong H, Kashyap M, Chaurasia A, Shah N, Singh K, Tazbaz T, Milstein A, Pfeffer M, Shah N. Testing and Evaluation of Health Care Applications of Large Language Models. JAMA 2024 View
  22. Guo Z, Lai A, Thygesen J, Farrington J, Keen T, Li K. Large Language Models for Mental Health Applications: Systematic Review. JMIR Mental Health 2024;11:e57400 View
  23. Zhang Z, Wang J. Can AI replace psychotherapists? Exploring the future of mental health care. Frontiers in Psychiatry 2024;15 View
  24. Levkovich I, Shinan-Altman S, Elyoseph Z. Can large language models be sensitive to culture suicide risk assessment?. Journal of Cultural Cognitive Science 2024;8(3):275 View
  25. Oliveira A, Bessa R, Teles A. Comparative analysis of BERT-based and generative large language models for detecting suicidal ideation: a performance evaluation study. Cadernos de Saúde Pública 2024;40(10) View
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