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

Formative Evaluation of Digital Health Interventions (2773) Knowledge and Attitudes of Mental Health Professionals towards Digital Interventions (30) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1764) E-Health / Health Services Research and New Models of Care (597) Artificial Intelligence (1666) Adoption and Change Management of eHealth Systems (786)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47847, first published .
The Adoption of AI in Mental Health Care–Perspectives From Mental Health Professionals: Qualitative Descriptive Study

The Adoption of AI in Mental Health Care–Perspectives From Mental Health Professionals: Qualitative Descriptive Study

The Adoption of AI in Mental Health Care–Perspectives From Mental Health Professionals: Qualitative Descriptive Study

Authors of this article:

Melody Zhang1 Author Orcid Image ;   Jillian Scandiffio1 Author Orcid Image ;   Sarah Younus1 Author Orcid Image ;   Tharshini Jeyakumar1, 2 Author Orcid Image ;   Inaara Karsan1 Author Orcid Image ;   Rebecca Charow1, 2 Author Orcid Image ;   Mohammad Salhia3 Author Orcid Image ;   David Wiljer1, 2, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Mehmood Qadri H, Bashir M, Khan M, Amir A, Khan A, Safdar Z, Chaudhry H, Younas U, Bashir A. Knowledge, Awareness and Practice of Artificial Intelligence and Types of Realities Among Healthcare Professionals: A Nationwide Survey From Pakistan. Cureus 2024 View
  2. Alhuwaydi A. Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight. Risk Management and Healthcare Policy 2024;Volume 17:1339 View
  3. Saeidnia H, Hashemi Fotami S, Lund B, Ghiasi N. Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact. Social Sciences 2024;13(7):381 View
  4. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  5. Simoun A, Fleet A, Scharf D, Pope L, Spaeth-Rublee B, Goldman M, Pincus H. Technology for advancing behavioral health integration: implications for behavioral health practice and policy. Translational Behavioral Medicine 2025;15(1) View
  6. Ma Y, Zeng Y, Liu T, Sun R, Xiao M, Wang J. Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews. Frontiers in Public Health 2024;12 View
  7. Močnik S, Smrke U, Mlakar I, Močnik G, Gregorič Kumperščak H, Plohl N. Beyond clinical observations: a scoping review of AI-detectable observable cues in borderline personality disorder. Frontiers in Psychiatry 2024;15 View
  8. Milasan L, Scott‐Purdy D. The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review. International Journal of Mental Health Nursing 2025;34(1) View
  9. Creswell Báez J, Victor B, Dysart C, Goldkind L. “I Don’t Understand It, but Okay”: An Empirical Study of Mental Health Practitioners’ Readiness to Use Large Language Models. Journal of Technology in Human Services 2025:1 View
  10. Gülırmak Güler K, Albayrak Günday E. Hemşirelik Öğrencilerinin Psikiyatri Hemşireliğinde Yapay Zekâ Kullanımına Yönelik Algı, Beklenti Ve Endişelerinin Derinlemesine İncelenmesi: Nitel Çalışma. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 2025;14(1):214 View

Books/Policy Documents

  1. Daniel M, Licona Rodríguez Á, Benítez Morales J, Pérez J. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals. View
  2. Buzila E, Gil F. Digital Maturity in Hospitals. View