This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (131) e-Learning and Digital Medical Education (820) Generative Language Models Including ChatGPT (562) Applications of AI (195) Testing and Assessment in Medical Education (74) Artificial Intelligence (1840) New Methods and Approaches in Medical Education (323)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64284, first published .
Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis

Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis

Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis

Authors of this article:

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  1. Zhou S, Liu X, Li D, Gu T, Liu K, Yang Y, Wong M. Integrating domain-specific knowledge and fine-tuned general-purpose large language models for question-answering in construction engineering management. Automation in Construction 2025;175:106206 View
  2. Kao J, Kao H. Large Language Models in radiology: A technical and clinical perspective. European Journal of Radiology Artificial Intelligence 2025;2:100021 View
  3. Bolgova O, Ganguly P, Mavrych V. Comparative analysis of LLMs performance in medical embryology: A cross‐platform study of ChatGPT, Claude, Gemini, and Copilot. Anatomical Sciences Education 2025;18(7):718 View
  4. Akpınar H. Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept. BMC Oral Health 2025;25(1) View