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通过LLM驱动的准则来加强呼吸器支持的预测建模

Xiaolei Lu1, Michael Miller1, Alex K Pearce1

  • 1University of California, San Diego.

Research square
|August 20, 2025
PubMed
概括

将大型语言模型 (LLM) 与深度反事实模型相结合,改善了重症监护室 (ICU) 患者的呼吸支持建议,降低了侵入性机械通风 (IMV) 率和死亡率.

关键词:
因果推断准则的遵守高流量鼻管个性化治疗效果大型语言模型非侵入性通风

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