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) Machine Learning (1769) Psychotic Disorders (180) Artificial Intelligence (1773) Chatbots and Conversational Agents (645) Generative Language Models Including ChatGPT (521) Machine Learning (1769) Psychotic Disorders (180) Artificial Intelligence (1773) Chatbots and Conversational Agents (645) Generative Language Models Including ChatGPT (521)

Published on in Vol 11 (2024)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53043, first published .
Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study

Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study

Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study

Authors of this article:

Zohar Elyoseph1, 2 Author Orcid Image ;   Inbar Levkovich3 Author Orcid Image
Article Authors Cited by (23) Tweetations (2) Metrics

Journals

  1. 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
  2. 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
  3. Deiner M, Honcharov V, Li J, Mackey T, Porco T, Sarkar U. Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study. JMIR Infodemiology 2024;4:e59641 View
  4. Fabijan A, Zawadzka-Fabijan A, Fabijan R, Zakrzewski K, Nowosławska E, Polis B. Assessing the Accuracy of Artificial Intelligence Models in Scoliosis Classification and Suggested Therapeutic Approaches. Journal of Clinical Medicine 2024;13(14):4013 View
  5. Abdelwahed N. Recognizing the Role of ChatGPT in Decision-Making and Recognition of Mental Health Disorders among Entrepreneurs. OBM Neurobiology 2024;08(03):1 View
  6. 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
  7. Solaiman B. Generative artificial intelligence (GenAI) and decision-making: Legal & ethical hurdles for implementation in mental health. International Journal of Law and Psychiatry 2024;97:102028 View
  8. 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
  9. Park G, Kim H, Go U. Generative artificial intelligence in nursing: A scoping review. Collegian 2024;31(6):428 View
  10. Hadar-Shoval D, Lvovsky M, Asraf K, Shimoni Y, Elyoseph Z. The Feasibility of Large Language Models in Verbal Comprehension Assessment: Mixed Methods Feasibility Study. JMIR Formative Research 2025;9:e68347 View
  11. Campbell L, Frawley C, Lambie G, Cabrera K, Vizcarra B. Examining Artificial Intelligence Policies in Counsellor Education. Counselling and Psychotherapy Research 2025;25(1) View
  12. Asman O, Torous J, Tal A. Responsible Design, Integration, and Use of Generative AI in Mental Health. JMIR Mental Health 2025;12:e70439 View
  13. 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
  14. Guhan P, Awasthi N, McDonald K, Bussell K, Reeves G, Manocha D, Bera A. Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study. JMIR Formative Research 2025;9:e46390 View
  15. Haber Y, Hadar Shoval D, Levkovich I, Yinon D, Gigi K, Pen O, Angert T, Elyoseph Z. The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis. Frontiers in Digital Health 2025;7 View
  16. Wang L, Bhanushali T, Huang Z, Yang J, Badami S, Hightow-Weidman L. Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations. JMIR Mental Health 2025;12:e70014 View
  17. Levkovich I, Rabin E, Farraj R, Elyoseph Z. Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers. Research in Developmental Disabilities 2025;160:104970 View
  18. Lauderdale S, Griffin S, Lahman K, Mbaba E, Tomlinson S. Unveiling Public Stigma for Borderline Personality Disorder: A Comparative Study of Artificial Intelligence and Mental Health Care Providers. Personality and Mental Health 2025;19(2) View
  19. Wang X, Zhou Y, Zhou G. The application and ethical implication of generative AI in mental health: A systematic review (Preprint). JMIR Mental Health 2024 View
  20. Settanni M, Quilghini F, Toscano A, Marengo D. Assessing the Accuracy and Consistency of Large Language Models in Triaging Social Media Posts for Psychological Distress. Psychiatry Research 2025:116583 View
  21. Barabas L, Novotny M, Jung D, Müller T, Mertse N. Exploring the potential of ChatGPT as a digital advisor in acute psychiatric crises: a feasibility study. Der Nervenarzt 2025 View

Conference Proceedings

  1. Song X, Song H, Gao B, Gao Q, Li W, Xu L, Lu Z. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. “Do You Need the Sage's Tea or the Friend's Cola” Exploring the Differential Healing Effects of Generative AI Conversational Styles View
  2. Poulsen A, Hickie I, de Haan Z, Capon W, LaMonica H, Eyeson-Annan E, Radwan J, Barnabie N, Scott E, Iorfino F. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Co-designing a conversational generative artificial intelligence system for youth mental health View