Integration of artificial intelligence in radiology education: a requirements survey and recommendations from faculty radiologists, residents, and medical students
The integration of AI technology in radiology education has the potential to revolutionize the field by providing innovative solutions for enhancing competency levels and optimizing learning outcomes.
Authors
- LI Rui-li (ORCID: https://orcid.org/0000-0003-1841-8272)
- Dongdong Rong (ORCID: https://orcid.org/0000-0002-2165-8800)
- Yi Shan (ORCID: https://orcid.org/0000-0003-2646-8835)
- Zhuangzhi Su
- Jie Lu (ORCID: https://orcid.org/0000-0003-0425-3921)
- Miao Zhang (ORCID: https://orcid.org/0000-0003-4912-2570)
- Guang‐Xue Liu
Institutions
- Capital Medical University (CN)
- Peking University (CN)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1186/s12909-025-06859-8
- Citations
- 18
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 24.48