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

Artificial Intelligence (2297) Decision Support for Health Professionals (1612) Quality/Credibility of eHealth Information and Trust Issues (671) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (13) Ethical, Legal, and Social Issues in AI (120)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66083, first published .
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

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 (3) 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