LLM,

Akihiko Wada1, Yuya Tanaka2,3, Mitsuo Nishizawa4,5

  • 1Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. a-wada@juntendo.ac.jp.

PubMed
概括

检索增强生成 (RAG) 显著增强了放射学咨询的本地大语言模型 (LLM),减少了错误,提高了速度,同时保护了患者的隐私. 这一进步有助于AI在医疗保健中的临床部署.

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