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:

Boxiong Wei1 Author Orcid Image

Journals

  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
  5. Salbas A, Buyuktoka R. Performance of Large Language Models in Recognizing Brain MRI Sequences: A Comparative Analysis of ChatGPT-4o, Claude 4 Opus, and Gemini 2.5 Pro. Diagnostics 2025;15(15):1919 View
  6. Bolgova O, Mavrych V. Evolution of AI in anatomy education study based on comparison of current large language models against historical ChatGPT performance. Scientific Reports 2025;15(1) View
  7. Martini R, Sang A, Saunders P, Bala W, Li H, Moon J, Balthazar P. Artificial Intelligence in Radiology: Performance of ChatGPT-4v and GPT-4o on Diagnostic Radiology in-Training (DXIT) Examination Questions. Journal of the American College of Radiology 2025 View
  8. Salbas A, Yogurtcu M. Performance of Large Language Models on Radiology Residency In-Training Examination Questions. Academic Radiology 2025 View

Books/Policy Documents

  1. Fantozzi I, Martuscelli L, Schiraldi M. Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production. View