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Feasibility of large language models for CEUS LI-RADS categorization of small liver nodules in patients at risk for hepatocellular carcinoma

BackgroundLarge language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigatedPurposeTo evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data...

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Auteurs principaux: Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2024-12-01
Collection:Frontiers in Oncology
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Accès en ligne:https://www.frontiersin.org/articles/10.3389/fonc.2024.1513608/full
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