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

Participatory Medicine & E-Patients (985) Clinical Information and Decision Making (3672) Quality/Credibility of eHealth Information and Trust Issues (939) Focus Groups and Qualitative Research for Human Factors Research (1531) Information Seeking, Information Needs (651) Patient-Clinician Relationship (50) Cognition and Information Processing in Human Factors Research (47)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95072, first published .
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Generative Artificial Intelligence (AI)–Assisted Self-Diagnosis and the Patient-Physician Relationship: Mixed Methods Study of Calibration, Participation, and Trust

Generative Artificial Intelligence (AI)–Assisted Self-Diagnosis and the Patient-Physician Relationship: Mixed Methods Study of Calibration, Participation, and Trust

Authors of this article:

Wuyao Ding1, 2 Author Orcid Image ;   Junxiu Wang1 Author Orcid Image
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Wuyao Ding   1, 2 , PhD ;   Junxiu Wang   1 , Prof Dr

1 School of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, China

2 School of Media and Communication, Shanghai Jiao Tong University, Shanghai, China

Corresponding Author:

  • Junxiu Wang, Prof Dr
  • School of Mental Health
  • Wenzhou Medical University
  • University Town, Chashan, Ouhai District
  • Wenzhou, Zhejiang 325035
  • China
  • Phone: +86 18518969163
  • Email: casswjx@163.com