View in EDS

Performance of open-source and proprietary large language models in generating patient-friendly radiology chest CT reports.

Saved in:
Bibliographic Details
Title: Performance of open-source and proprietary large language models in generating patient-friendly radiology chest CT reports.
Authors: Prucker P; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany., Busch F; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany., Dorfner F; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiology, Charitéplatz 1, 10117 Berlin, Germany., Mertens CJ; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany., Bayerl N; Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Uniklinikum Erlangen, Erlangen, Germany., Makowski MR; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany., Bressem KK; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany; Department of Radiology and Nuclear Medicine, German Heart Center Munich, Lazarettstraße 36, 80636 Munich, Germany., Adams LC; Department of Diagnostic and Interventional Radiology, Technical University Munich, Ismaninger Str. 22, 81675 Munich, Germany. Electronic address: lisa.adams@tum.de.
Source: Clinical imaging [Clin Imaging] 2025 Sep; Vol. 125, pp. 110557. Date of Electronic Publication: 2025 Jul 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8911831 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4499 (Electronic) Linking ISSN: 08997071 NLM ISO Abbreviation: Clin Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4499
DOI:10.1016/j.clinimag.2025.110557