Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education
The PACS+AI framework significantly enhances radiology education by optimizing cognitive load distribution, resulting in sustained knowledge retention, superior clinical decision-making competencies, and heightened AI acceptance. This integrated teaching model effectively bridges the gap between theory and practice, cultivates professionals adaptable to the artificial intelligence environment, and aligns with the core needs of the new generation of medical education.
Authors
- Jing Li (ORCID: https://orcid.org/0000-0003-2761-4419)
- Haiyan Zhao
Institutions
- Kunming University of Science and Technology (CN)
- Kunming Medical University (CN)
- First People's Hospital of Yunnan Province (CN)
- The First Hospital of Kunming (CN)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1016/j.ejro.2026.100724
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00