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

To investigate the feasibility of the large language model (LLM) ChatGPT for classifying liver lesions according to the Liver Imaging Reporting and Data System (LI-RADS) based on MRI reports, and to compare classification performance on structured vs. unstructured reports. LI-RADS classifiable liver...

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Veröffentlicht in:	Frontiers in radiology Jg. 4; S. 1390774
Hauptverfasser:	Fervers, Philipp, Hahnfeldt, Robert, Kottlors, Jonathan, Wagner, Anton, Maintz, David, Pinto dos Santos, Daniel, Lennartz, Simon, Persigehl, Thorsten
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 2024
Schlagworte:	diagnosis diagnostic imaging LI-RADS (liver imaging reporting and data system) liver MRI neoplasms diagnosis LI-RADS (liver imaging reporting and data system) neoplasms MRI liver diagnostic imaging
ISSN:	2673-8740, 2673-8740
Online-Zugang:	Volltext
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