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English(EN) The LLENS Platform for On-Premises Large Language Model Agents in a Japanese University Hospital: Development and Evaluation Study

日本医院部署内部部署LLM代理平台LLENS

研究人员开发了LLENS,一个用于封闭医院网络内部部署的大型语言模型代理平台。该平台部署在北海道大学医院,使用了NVIDIA H200 GPU和Kimi K2.6模型。LLENS包含处理电子健康记录和文书工作的几个组件,例如网络隔离沙箱和子代理。评估表明,Kimi K2.6在医学执业考试中表现良好,并且与固定方法相比,在使用交互式文档检索时显示出显著的准确性提高。 AI

影响 能够在医院等敏感环境中安全部署LLM代理,有可能提高医生效率。

排序理由 该集群描述了在医院环境中LLM代理研究平台的开发和评估,详细内容发表在arXiv论文中。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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日本医院部署内部部署LLM代理平台LLENS

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该集群描述了在医院环境中LLM代理研究平台的开发和评估,详细内容发表在arXiv论文中。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ken Enda, Jien Saito, Masami Mukai, Feng Han, Emir Turkes, Tatsumi Kusakabe, Reona Umeki, Kazuhiro Sumiyoshi, Mitsuya Numata, Takumi Tanikawa, Akira Endoh, Kenji Hirata, Atsushi Yoshida, Kohsuke Kudo, Shinya Tanaka ·

    LLENS平台:日本大学医院本地部署大型语言模型代理的开发与评估研究

    arXiv:2610.32151v1 Announce Type: cross Abstract: Large language model agents that use tools could take on part of the electronic health record and desk work that occupies physicians' time, but in many hospitals the medical information systems run inside closed networks, so the m…