计算机科学
英语
情报检索
放射科
医学
心理学
数学教育
作者
Dane Weinert,Andreas M. Rauschecker
出处
期刊:Radiology
[Radiological Society of North America]
日期:2025-03-12
卷期号:7 (3): e240313-e240313
被引量:5
摘要
Retrieval-augmented generation (RAG) significantly improves the performance of some large language models on a radiology examination, highlighting the need for further optimization and evaluation of RAG in radiology.
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