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

Artificial Intelligence (2469) Quality/Credibility of eHealth Information and Trust Issues (685) Decision Support for Health Professionals (1705) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (13) Ethical, Legal, and Social Issues in AI (137)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66083, first published .
Laptop displaying a webpage about AI-powered doctor, Doctor M, for symptom evaluation.

Impact of AI-Assisted Diagnosis on American Patients’ Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey Experiment

Impact of AI-Assisted Diagnosis on American Patients’ Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey Experiment

Authors of this article:

Catherine Chen1, 2 Author Orcid Image ;   Zhihan Cui3, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Chen Y, Luo S, Yin Y. Are you willing to forgive generative AI doctors? Trust repair after failures in online health consultation services. Frontiers in Psychology 2025;16 View
  2. Yuan S, Guo L, Xu F. Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. International Urology and Nephrology 2025 View
  3. Alharbi B, Aljabri M, Ali E. Determinants of Trust in Artificial Intelligence (AI) for Health-Related Decision-Making Among Adults in Saudi Arabia: A Cross-Sectional Study. Healthcare 2026;14(4):506 View
  4. Kirchberger M. Public Perceptions of AI in Medicine and Implications for Future Medical Education: Cross-Sectional Survey. JMIR Formative Research 2026;10:e89123 View
  5. Chen C, Jia X. When researchers use AI: public trust, ethical judgments, and the perceived value of academic research. AI and Ethics 2026;6(2) View
  6. Helbing A, Boualoy T, Moten A. Not a Doctor, but I Write Like One: ChatGPT in General Surgery Informed Consent. Journal of Surgical Research 2026;321:252 View
  7. Yan L, Bai X, Lin X, Lai J, Sun S, Chen H, Liu R, Hu R. Determinants of the Public’s Behavioral Intention to Adopt AI-Assisted Lung Cancer Screening: An Extended UTAUT Model Integrating Trust and Risk. Healthcare 2026;14(7):945 View
  8. Jiang F, Hou S, Huang Q, Zhao R, Tang Y. More AI, Less Care-Seeking? A National Survey Experiment on the Impact of AI Intensity on Patient Care-Seeking Intention in Chinese Family Doctor Services. Healthcare 2026;14(8):1022 View
  9. Maciej Kokoszka , Michalina Chodór , Julia Maria Kuczkowska , Judyta Bordakiewicz , Zuzanna Michalska , Donata Pokorska , Julia Świechowska , Zuzanna Zarzycka , Ingrid Samberger , Magdalena Wiciak . ALGORITHMIC AUTHORITY VS. HUMAN TOUCH: A NARRATIVE REVIEW OF PATIENT TRUST AND CLINICAL AUTONOMY IN AI-ASSISTED DIAGNOSTICS. International Journal of Innovative Technologies in Social Science 2026;3(1(49)) View
  10. de Giovanni R, Gaj E, Mottola L, Cecere A, Coppola M, Garofalo R, Cozzolino A. The Use of Chat-GPT 5.2 by Patients Affected by Rotator Cuff Tears Leads to Inaccurate Diagnosis and Treatment Suggestions: A Study by SICSeG (Italian Society of Shoulder and Elbow Surgery). Journal of Clinical Medicine 2026;15(10):3878 View
  11. Chitrapady S, Poojari P, Rashid M, Kunhikatta V, Varma D M, Acharya R, K N S, Devi V, Acharya U D, Khan S, Thunga G, Sahoo J. A qualitative study to inform the design and implementation of AI-driven diagnosis: Challenges, barriers, and clinical insights of physicians. PLOS One 2026;21(5):e0348519 View