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

Artificial Intelligence (2129) Adoption and Change Management of eHealth Systems (894) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186)

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 (10) 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
  3. Donkor A, Kumi D, Amponsah E, Della Atuwo-Ampoh V. Principles for enhancing trust in artificial intelligence systems among medical imaging professionals in Ghana: A nationwide cross-sectional study. Radiography 2025;31(3):102953 View
  4. Lawrence R, Dodsworth E, Massou E, Sherlaw-Johnson C, Ramsay A, Walton H, O'Regan T, Gleeson F, Crellin N, Herbert K, Ng P, Elphinstone H, Mehta R, Lloyd J, Halliday A, Morris S, Fulop N. Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review. eClinicalMedicine 2025;83:103228 View
  5. Oftring Z, Deutsch K, Tolks D, Jungmann F, Kuhn S. Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study. JMIR Medical Education 2025;11:e65220 View
  6. Glenning J, Gualtieri L. Patient Perspectives on Artificial Intelligence in Medical Imaging. Journal of Participatory Medicine 2025;17:e67816 View
  7. Shiroma K, Miller J. Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review. JMIR Human Factors 2025;12:e70057 View
  8. Xu Y, Li Y, Wang F, Zhang Y, Huang D. Addressing the current challenges in the clinical application of AI-based Radiomics for cancer imaging. Frontiers in Medicine 2025;12 View
  9. Nilsen P, Svedberg P, Larsson I, Petersson L, Nygren J, Steerling E, Neher M. Integrating artificial intelligence into radiology practice: a qualitative case study of radiology staff experiences in a Swedish hospital (Preprint). JMIR Formative Research 2025 View

Dissertations

  1. . Perceptions of 1st year undergraduate medical students on artificial intelligence: mixed-methods survey study from a rural medical college of West Bengal. View