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

AI Language Models in Health Care (753) Clinical Information and Decision Making (3730) Tools, Programs and Algorithms (586) Theoretical Frameworks and Concepts (559) Decision Support for Health Professionals (2249) Imaging Informatics (470) Medical imaging (195) Generative Language Models Including ChatGPT (1542)

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
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Journals

  1. Yi W, Chen Y, Feng X, Xia T. Agentic artificial intelligence in radiology workflow: from image interpretation to report quality control. Frontiers in Medicine 2026;13 View