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Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text Reports.

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Title: Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text Reports.
Authors: Mergen M; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Spitzl D; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany. Danieljan.Spitzl@mri.tum.de., Ketzer C; Department of Trauma Surgery, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Strenzke M; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Marka AW; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Makowski MR; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Bressem KK; Department of Cardiovascular Radiology and Nuclear Medicine, School of Medicine and Health, German Heart Center Munich, Technical University of Munich, 80636, Munich, Germany., Adams LC; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany., Gassert FT; Department of Diagnostic and Interventional Radiology, School of Medicine, TUM University Hospital, Technical University of Munich, 81675, Munich, Germany.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1861-1867. Date of Electronic Publication: 2025 Jul 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2948-2933
DOI:10.1007/s10278-025-01603-6