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

Users' and Patients' Needs for Mental Health Services (502) Artificial Intelligence (2129) Innovations in Mental Health Systems (484) Cross-Sectional Studies in Public Health (431) Mobile Health in Psychiatry (527) Telepsychiatry (212) Virtual Reality Interventions in Mental Health (173)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58462, first published .
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study

Authors of this article:

Natalie Benda1 Author Orcid Image ;   Pooja Desai2 Author Orcid Image ;   Zayan Reza3 Author Orcid Image ;   Anna Zheng4 Author Orcid Image ;   Shiveen Kumar5 Author Orcid Image ;   Sarah Harkins1 Author Orcid Image ;   Alison Hermann6 Author Orcid Image ;   Yiye Zhang7 Author Orcid Image ;   Rochelle Joly8 Author Orcid Image ;   Jessica Kim7 Author Orcid Image ;   Jyotishman Pathak7 Author Orcid Image ;   Meghan Reading Turchioe1 Author Orcid Image
Article Authors Cited by (23) Tweetations (1) Metrics

Journals

  1. 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
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  3. Erul E, Aktekin Y, Danışman F, Gümüştaş Ş, Aktekin B, Yekedüz E, Ürün Y. Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer. Cancer Control 2025;32 View
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  5. Yin M, Yu Z, Zhu M. Are Digital Offspring Closer than Biological Offspring?—A Study on the Factors Influencing the Intention to Use AI Kinship Companion Customization Products. International Journal of Human–Computer Interaction 2025:1 View
  6. Báez J, Ahn E, Tamietti A, Victor B, Goldkind L. Clinical Social Workers’ Perceptions of Large Language Models in Practice: Resistance to Automation and Prospects for Integration. Journal of Evidence-Based Social Work 2025:1 View
  7. Sousa A, Silva E, Brandão M, Rocha F. O USO DA INTELIGÊNCIA ARTIFICIAL NA PREVISÃO DE DEMANDAS EM SAÚDE MENTAL DE POPULAÇÕES VULNERÁVEIS. Revista Contemporânea 2025;5(8):e8879 View
  8. Omori M, Basnayake P, Keogh L, Frazer H, Kunicki K, Lippey J. Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme—A Qualitative Study With BreastScreen Victoria Clients. Health Expectations 2025;28(5) View
  9. Zhong E, Spector N, O'Hara C, Livanos N, Castillo J. Advancing nursing regulation in the digital era: Harnessing AI to bridge workforce gaps and strengthen practice competency and safety. Journal of Nursing Regulation 2025;16(3):150 View
  10. Galatzan B, Johnson E, Turchioe M, Baker C, Wieben A. Regulating at the AI frontier: The collision of policy, regulation, and nursing practice. Journal of Nursing Regulation 2025;16(3):207 View
  11. Timmons A, Duong J, Walters S, Carta K, Jumonville G, Carrasco A, Romero D, Ahle M, Comer J, Khurd I, Chaspari T. Bridging fair-aware artificial intelligence and co-creation for equitable mental healthcare. Nature Reviews Psychology 2025 View
  12. Ding W, Zhang Y, Wang M, Wang S. Post-pandemic mental health: Understanding the global psychological burden and charting future research priorities. World Journal of Psychiatry 2025;15(10) View
  13. Reading Turchioe M, Bang S, Shamnath A, Lai S, Yee N, Lindmark J, Federak J, Averina V, Slotwiner D. Testing a Novel Design Framework for Patient-Facing Machine Learning–Based Predictions of Heart Failure Decompensation. JACC: Advances 2025;4(10):102171 View
  14. Arrighi De Casanova J, Post G. La psychiatrie à l’ère numérique : révolution technologique et enjeux éthiques. Soins Psychiatrie 2025;46(361):17 View
  15. Yang Q, Du X, Liu X, Ren Z. Why does the public accept or reject AI mental health care in China? A sentiment and dynamic topic analysis based on social media data. Information, Communication & Society 2025:1 View
  16. Papiernik P, Dzula S, Zimanyi M, Millgate E, Bouazzaoui M, Buttimer J, Warren G, Cooper E, Catarino A, Mehew S, Marshall E, Tablan V, Blackwell A, Palmer C. Acceptability of a Conversational Agent–Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives. JMIR Human Factors 2025;12:e76377 View
  17. Teles A, Chaturvedi J, Wang T, Scazufca M, Msosa Y, Stahl D, Roberts A, Montague-Cardoso K. Generative multimodal large language models in mental health care: Applications, opportunities, and challenges. PLOS Mental Health 2025;2(11):e0000488 View
  18. Toh H, Chan H, Ploug T, Holm S, Lysaght T. Attitudes Towards the Use of Artificial Intelligence in Healthcare: A Conjoint Analysis Survey in Singapore. Asian Bioethics Review 2025 View
  19. Garcia E, Adam M, Dow E, Minaker S, Scarboro S, Storey P, Wood E, Abousy M, Wykoff C, Al-khersan H. Artificial Intelligence in Clinical Care: Perceptions of Retina Specialists and Patients Gathered Through a Multicenter Survey. Journal of VitreoRetinal Diseases 2025 View
  20. Islam M, Hosen A, Rony M, Vanu N, Bhuiyan M, Tasnim A, Tiwari A, Yeasmin S, Manik M, Wesley H. Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real‐Time Data Analytics and Disease Prediction. Advances in Public Health 2025;2025(1) View

Conference Proceedings

  1. Bogdanova K, Cila N, Kudina O, Bozzon A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Digital Phenotyping as Felt Informatics: Designing AI-Based Mental Health Diagnostic Tools Through Aesthetics View
  2. Fang C, Chua P, Chan S, Leong J, Bao A, Maes P. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Leveraging AI-Generated Emotional Self-Voice to Nudge People towards their Ideal Selves View
  3. ÖZGÜLEŞ R, SKENDER F, ALI I. Congress Proceedings. ARTIFICIAL INTELLIGENCE IN HEALTH: ETHICS AND LEGAL REGULATIONS View