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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Artificial Intelligence (2129) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) New Resources for Medical Education (115) New Methods and Approaches in Medical Education (374) Viewpoint and Opinions on Innovation in Medical Education (78)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58801, first published .
Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Authors of this article:

Ecem Ozkan1 Author Orcid Image ;   Aysun Tekin2 Author Orcid Image ;   Mahmut Can Ozkan1 Author Orcid Image ;   Daniel Cabrera3 Author Orcid Image ;   Alexander Niven4 Author Orcid Image ;   Yue Dong2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Guo S, Song Y, Chen G, Han H, Wu H, Ma J. Promoting trust and intention to adopt health information generated by ChatGPT among healthcare customers: An empirical study. DIGITAL HEALTH 2025;11 View
  2. Ruan J, Tang Y, Wei Z, Xing W, Hu Y. Nurses’ Perspectives on Evidence Dissemination Barriers and Large Language Model–Based Support: Qualitative Study Using Focus Groups and Nominal Group Technique. Journal of Medical Internet Research 2025;27:e80289 View
  3. Raquepo T, Yamin M, Gettings M, Puducheri S, Tobin M, Won S, Cauley R. The Utility of ChatGPT for Medical Students on Plastic and Reconstructive Surgery Rotations. Aesthetic Plastic Surgery 2025 View