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Updated: Jun 9, 2025

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使用真实临床笔记识别中央线关联血流感染 (CLABSI) 的大型语言模型的性能

Guillermo Rodriguez-Nava1, Goar Egoryan2, Katherine E Goodman3,4

  • 1Division of Infectious Diseases & Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Infection control and hospital epidemiology
|October 30, 2024
PubMed
概括

一个安全的大型语言模型在临床笔记中快速准确地识别了中央线路相关的血液感染 (CLABSI). 进一步的患者数据可以提高其在医疗保健环境中的表现.

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