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评估提取增强代增强的大型语言模型以回答德国神经血管指南的问题

Marius Vach1, Michael Gliem2, Daniel Weiss3

  • 1Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. Marius.Vach@med.uni-duesseldorf.de.

Clinical neuroradiology
|September 2, 2025
PubMed
概括

检索增强生成 (RAG) 显著增强了用于回答医疗指南问题的大型语言模型 (LLM). 虽然RAG提高了准确性,但为了安全的临床使用,特别是非英语语言,需要进一步开发.

关键词:
人工智能冠状动脉狭窄症基于证据的医学缺血性中风大型语言模型医疗指南神经血管疾病

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