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.

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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
Controls
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article

Artificial intelligence in radiology examinations: a psychometric comparison of question generation methods

Emre Emekli, Betül Nalan Karahan
2 citations
Diagnostic and Interventional Radiology
Artificial Intelligence in Healthcare and Education
1.31
article

Artificial intelligence in radiology examinations: a psychometric comparison of question generation methods

Emre Emekli, Betül Nalan Karahan
article en
2 citations

Abstract

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.

Diagnostic and Interventional Radiology
Eskişehir Osmangazi University (TR)
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
1.31
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