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

User Needs and Competencies (603) Human Factors and Usability Case Studies (1337) Innovations in Mental Health Systems (685) Users' and Patients' Needs for Mental Health Services (701) Telepsychiatry (282) Knowledge and Attitudes of Mental Health Professionals towards Digital Interventions (87) Theme Issue 2025: AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (88)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79658, first published .
Man and woman analyze explainable AI charts and graphs on a computer screen.

Investigating How Clinicians Form Trust in an AI-Based Mental Health Model: Qualitative Case Study

Investigating How Clinicians Form Trust in an AI-Based Mental Health Model: Qualitative Case Study

Authors of this article:

Anthony Kelly1, 2 Author Orcid Image ;   Niharika Bhardwaj1 Author Orcid Image ;   Trine Theresa Holmberg Sainte-Marie3 Author Orcid Image ;   Pepijn Van de Ven1, 2 Author Orcid Image ;   Ruth Melia2, 4 Author Orcid Image ;   John Eustis Williams5 Author Orcid Image ;   Kim Mathiasen3, 6 Author Orcid Image ;   Amalie Søgaard Nielsen6 Author Orcid Image
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Journals

  1. Kelly A. Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint. Journal of Medical Internet Research 2026;28:e83903 View
  2. Zhang Y, Yue G, Si Z. Therapeutic Twins for Creative Digital Mental Health: A Review Through a Trust-in-Automation Lens. International Journal of Human–Computer Interaction 2026:1 View
  3. Liu Y. The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects. Healthcare 2026;14(14):2031 View
  4. Schuster R, Plessen C, Carlbring P, Walther A. AI Agents Are Coming: 5-Stage Taxonomy of Language-Based AI Systems for Psychiatry, Psychotherapy, and Counseling. JMIR Mental Health 2026;13:e91746 View
  5. Kim M, Chang J. Healthcare AI Governance as a Closed-Loop: A Simulation Based Analysis of Human-Centered Experience Engineering. Systems 2026;14(7):777 View
  6. Zhou Y, Honary M, Fayoumi A. Design Principles for a Risk-Aware Conversational Agent in Digital Mental Health Information Access: The Case of Cognitive Theatre. Information Systems Frontiers 2026 View
  7. Chowdhury D, Bodakhe S. From Algorithm to Bedside: Evaluating the Impact of Artificial Intelligence on Clinical Outcomes and Value-Based Care. Pharma-X 2026:100003 View
  8. Yonally Phillips E, Galvan M, Min J, Hewison C, Duyala C, Palmado J, Peral S, Camelique O, Roxas M, Duka M, Pardilla G, Recidoro M, Castro R, Hossain F, Huerga H, Carnimeo V, Hoddinott G. Implementing computer‑aided detection for TB active case finding: A qualitative study of feasibility and acceptability in Tondo, Manila. PLOS Global Public Health 2026;6(10):e0007429 View

Books/Policy Documents

  1. Sharma A, Sharma M, Ekhtiari H. . View

Conference Proceedings

  1. Tazike M, Deldari E, Jamshidi I. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. "It Helps Me Start": How ADHD Users Adapt AI Tools in Everyday Life View
  2. Rahman M, Chaudhry B. Proceedings of the 2026 Designing Interactive Systems Conference. Ethical Sensemaking in AI Mental Health Chatbots: An Analysis of User Reviews View
  3. Cao H, Pham V, Hung Nguyen T, Truong Loc Nguyen P, Ho P, Whitford V, Cao H. 2026 IEEE International Conference on Omni Layer Intelligent Systems (COINS). Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation View