Artificial intelligence in radiology examinations: a psychometric comparison of question generation methods
AI-based question generation may potentially support educators by enhancing efficiency and consistency in assessment item creation. These methods may complement traditional approaches to help scale up high-quality MCQ development in medical education, particularly in resource-limited settings; however, they should be applied with caution and expert oversight until further evidence is available, especially given the preliminary nature of the current findings.
Authors
- Emre Emekli (ORCID: https://orcid.org/0000-0001-5989-1897)
- Betül Nalan Karahan (ORCID: https://orcid.org/0000-0003-4958-330X)
Institutions
- Eskişehir Osmangazi University (TR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-07-21
- DOI
- https://doi.org/10.4274/dir.2025.253407
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31