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

Artificial Intelligence (1619) Decision Support for Health Professionals (1293) Quality/Credibility of eHealth Information and Trust Issues (583) Digital Health, Telehealth and e-Innovation in Clinical Settings (459) Quality Improvement (268) Adoption and Change Management of eHealth Systems (770)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50853, first published .
The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study

The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study

The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study

Authors of this article:

Anna G M Zondag1 Author Orcid Image ;   Raoul Rozestraten2 Author Orcid Image ;   Stephan G Grimmelikhuijsen2 Author Orcid Image ;   Karin R Jongsma3 Author Orcid Image ;   Wouter W van Solinge1 Author Orcid Image ;   Michiel L Bots3 Author Orcid Image ;   Robin W M Vernooij3, 4 Author Orcid Image ;   Saskia Haitjema1 Author Orcid Image
Article Authors Cited by (2) Tweetations (8) Metrics

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  1. Weissman G, Zwaan L, Bell S. Diagnostic scope: the AI can’t see what the mind doesn’t know. Diagnosis 2024 View
  2. Saraiva M, Ribeiro T, Agudo B, Afonso J, Mendes F, Martins M, Cardoso P, Mota J, Almeida M, Costa A, Gonzalez Haba Ruiz M, Widmer J, Moura E, Javed A, Manzione T, Nadal S, Barroso L, de Parades V, Ferreira J, Macedo G. Evaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology. Journal of Clinical Medicine 2025;14(2):572 View