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

Reviews in AI (19) Applications of AI (246) Digital Health Reviews (1652) Health Informatics Education and Training (77) Machine Learning (1971) Decision Support for Health Professionals (1468)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59295, first published .
Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

Authors of this article:

John Grosser1 Author Orcid Image ;   Juliane Düvel2 Author Orcid Image ;   Lena Hasemann1 Author Orcid Image ;   Emilia Schneider1 Author Orcid Image ;   Wolfgang Greiner1 Author Orcid Image
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Journals

  1. Shen Q, Gong X, Zhang W, Hu Y, Ma Y, Ren Z, Liu S, Song Z, Gale R, Wang J, Chen J. Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study. JMIR Research Protocols 2025;14:e76009 View