ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language.

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Bibliographic Details
Title: ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language.
Authors: Fervers P; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Hahnfeldt R; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Kottlors J; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Wagner A; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Maintz D; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Pinto Dos Santos D; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.; Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, University Hospital Frankfurt, Frankfurt am Main, Germany., Lennartz S; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Persigehl T; Department of Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Source: Frontiers in radiology [Front Radiol] 2024 Jul 05; Vol. 4, pp. 1390774. Date of Electronic Publication: 2024 Jul 05 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-8740
DOI:10.3389/fradi.2024.1390774