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

Artificial Intelligence (1602) Adoption and Change Management of eHealth Systems (768) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (130) Artificial Intelligence (114)

Published on in Vol 25 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50728, first published .
Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study

Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study

Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study

Authors of this article:

Queralt Miró Catalina1, 2 Author Orcid Image ;   Joaquim Femenia3 Author Orcid Image ;   Aïna Fuster-Casanovas1 Author Orcid Image ;   Francesc X Marin-Gomez1, 2 Author Orcid Image ;   Anna Escalé-Besa1, 2, 3 Author Orcid Image ;   Jordi Solé-Casals4, 5 Author Orcid Image ;   Josep Vidal-Alaball1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (17) Metrics

Journals

  1. Rose S, Shapiro D. An Ethically Supported Framework for Determining Patient Notification and Informed Consent Practices When Using Artificial Intelligence in Health Care. CHEST 2024;166(3):572 View
  2. Sami A, Tanveer F, Sajwani K, Kiran N, Javed M, Ozsahin D, Muhammad K, Waheed Y. Medical students’ attitudes toward AI in education: perception, effectiveness, and its credibility. BMC Medical Education 2025;25(1) View