Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study

Abstract Objective To develop a domain-specific large language model (LLM) for LI-RADS v2018 categorization of hepatic observations based on free-text descriptions extracted from MRI reports. Material and methods This retrospective study included 291 small liver observations, divided into training (...

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Autors principals:	Mario Matute-González, Anna Darnell, Marc Comas-Cufí, Javier Pazó, Alexandre Soler, Belén Saborido, Ezequiel Mauro, Juan Turnes, Alejandro Forner, María Reig, Jordi Rimola
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-11-01
Col·lecció:	Insights into Imaging
Matèries:	Hepatocellular carcinoma Natural language processing Radiology Report Standardization
Accés en línia:	https://doi.org/10.1186/s13244-024-01850-1
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