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

AI Language Models in Health Care (299) Clinical Information and Decision Making (2164) Tools, Programs and Algorithms (429) Theoretical Frameworks and Concepts (410) Decision Support for Health Professionals (1712) Imaging Informatics (356) Medical imaging (146) Generative Language Models Including ChatGPT (900)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87368, first published .
Doctor reviewing MRI scans of the spine on a computer screen

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

Authors of this article:

Songsoo Kim1 Author Orcid Image ;   Seungtae Lee2 Author Orcid Image ;   See Young Lee3 Author Orcid Image ;   Joonho Kim4 Author Orcid Image ;   Keechan Kan5 Author Orcid Image ;   Hyunji Lee6 Author Orcid Image ;   Dukyong Yoon7, 8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Songsoo Kim   1 , MD, PhD ;   Seungtae Lee   2 , MD ;   See Young Lee   3 , MD ;   Joonho Kim   4 , MD, PhD ;   Keechan Kan   5 , MD ;   Hyunji Lee   6 , MD ;   Dukyong Yoon   7, 8 , MD, PhD

1 Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea

2 Department of Radiology, Gangnam Severance Hospital, Seoul, Republic of Korea

3 Department of Internal Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea

4 Department of Neurology, Severance Hospital, Seoul, Republic of Korea

5 Department of Surgery, Samsung Medical Center, Seoul, Republic of Korea

6 Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Seoul, Republic of Korea

7 Department of Biomedical Systems Informatics, College of Medicine, Yonsei University, Seoul, Republic of Korea

8 Institute for Innovation in Digital Healthcare, Severance Hospital, Seoul, Republic of Korea

Corresponding Author:

  • Dukyong Yoon, MD, PhD
  • Department of Biomedical Systems Informatics
  • College of Medicine, Yonsei University
  • 101-604
  • Seoul 03687
  • Republic of Korea
  • Phone: 82 31-5189-8450
  • Fax: 82 31-5189-8450
  • Email: dukyong.yoon@yonsei.ac.kr