AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.
- DOI
- 10.1155/rrp/5775572
- Published
- 2026
- Container
- Radiology research and practice
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1155/rrp/5775572,
title = {AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.},
author = {Abdul-Razak W and Deku M and Akpabli E and Anudjo MNK},
year = {2026},
journal = {Radiology research and practice},
doi = {10.1155/rrp/5775572},
url = {https://doi.org/10.1155/rrp/5775572}
}RIS
TY - JOUR TI - AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey. AU - Abdul-Razak W AU - Deku M AU - Akpabli E AU - Anudjo MNK PY - 2026 JO - Radiology research and practice DO - 10.1155/rrp/5775572 UR - https://doi.org/10.1155/rrp/5775572 ER -
APA
W, A., M, D., E, A., & MNK, A. (2026). AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.. Radiology research and practice. https://doi.org/10.1155/rrp/5775572
Source records
- pubmed · retrieved 2026-09-25T11:48:10.317Z