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

Undergraduate Education for Future Doctors (81) Artificial Intelligence (1189) Adoption and Change Management of eHealth Systems (670) Decision Support for Health Professionals (1129)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45631, first published .
Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis

Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis

Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis

Authors of this article:

Gerit Wagner1 Author Orcid Image ;   Louis Raymond2 Author Orcid Image ;   Guy Paré3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Jacobs S, Lundy N, Issenberg S, Chandran L. Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence. JMIR Medical Education 2023;9:e50903 View
  2. Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu N, Bartlett R, Hanson J, Haas M, Spadafore M, Grafton-Clarke C, Gasiea R, Michie C, Corral J, Kwan B, Dolmans D, Thammasitboon S. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 2024;46(4):446 View
  3. Bilici F, Türkoğlu İ. Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers' Attitudes Towards Driverless Cars and Intention to Use in the Future. Fırat Üniversitesi Mühendislik Bilimleri Dergisi 2024;36(1):383 View
  4. Arthur F, Salifu I, Abam Nortey S. Predictors of higher education students’ behavioural intention and usage of ChatGPT: the moderating roles of age, gender and experience. Interactive Learning Environments 2024:1 View