Comparative performance of large language models in structuring head CT radiology reports: multi-institutional validation study in Japan.

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Bibliographic Details
Title: Comparative performance of large language models in structuring head CT radiology reports: multi-institutional validation study in Japan.
Authors: Takita H; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-ku, Osaka, 545-8585, Japan., Walston SL; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-ku, Osaka, 545-8585, Japan., Mitsuyama Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-ku, Osaka, 545-8585, Japan., Watanabe K; Smart Data and Knowledge Services Department, German Research Center for Artificial Intelligence (DFKI GmbH), 67663, Kaiserslautern, Germany., Ishimaru S; Department of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, 1-1, Gakuen-cho, Naka-ku, Sakai, 599-8531, Japan., Ueda D; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-ku, Osaka, 545-8585, Japan. ai.labo.ocu@gmail.com.
Source: Japanese journal of radiology [Jpn J Radiol] 2025 Sep; Vol. 43 (9), pp. 1445-1455. Date of Electronic Publication: 2025 May 14.
Publication Type: Journal Article; Comparative Study; Multicenter Study; Validation Study
Journal Info: Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1867-108X
DOI:10.1007/s11604-025-01799-1