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

Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published Date: Jul 21, 2025

Abstract

PURPOSE: This study aimed to evaluate the usability of artificial intelligence (AI)-based question generation methods-Chat Generative Pre-trained Transformer (ChatGPT)-4o (a non-template-based large language model) and a template-based automatic item generation (AIG) method-in the context of radiology education. The primary objective was to compare the psychometric properties, perceived quality, and educational applicability of generated multiple-choice questions (MCQs) with those written by a faculty member.

Authors

  • Emre Emekli
    Department of Radiology, Eskişehir Osmangazi University, Eskişehir, Turkiye; Department of Medical Education, Gazi University, Ankara, Turkiye.
  • Betül Nalan Karahan
    Eskişehir Osmangazi University Faculty of Medicine, Department of Radiology, Eskişehir, Türkiye.

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