[Listen to Authors] LLM Accuracy in Neuroradiology Cases

Описание: Korean J Radiol 2026 Mar;27(3):214-226. English.
Published online Feb 2026. https://doi.org/10.3348/kjr.2025.1045
Copyright © 2026 The Korean Society of Radiology

Evaluating the Accuracy and Diagnostic Reasoning of Multimodal Large Language Models in Interpreting Neuroradiology Cases From RadioGraphics

Pae Sun Suh1*, Ji Su Ko2*, Woo Hyun Shim3,4, Hwon Heo4, Chang-Yun Woo5, Hyungjun Park6, Chong Hyun Suh3

1Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
2Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
3Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
4Department of Medical Science, Asan Medical Institute of Convergence
Science and Technology, Asan Medical Center, University of Ulsan College
of Medicine, Seoul, Republic of Korea
5Department of Internal Medicine, Asan Medical Center, University of Ulsan
College of Medicine, Seoul, Republic of Korea
6Department of Pulmonology, Shihwa Medical Center, Siheung, Republic of
Korea

*These authors contributed equally to this work.
Corresponding author: Chong Hyun Suh, MD, PhD, Department of Radiology and Research Institute of Radiology, Asan Medical Center,
University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea. E-mail: [email protected]

Received: May 21, 2025; Revised: December 18, 2025; Accepted: December 18, 2025