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Updated: Feb 28, 2026

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大型语言模型的评估作为紧急部门重新访问预测者

Emma Chen1, Luyang Luo2, Fatma Gunturkun3

  • 1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA2Harvard John A. Paulson School Of Engineering And Applied Sciences, Cambridge, MA, USA, yingchen@g.harvard.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 27, 2026
PubMed
概括

大型语言模型 (LLM) 在临床预测方面显示出潜力,但在现实世界急诊室 (ED) 重复检查任务方面存在困难. 目前的LLM,即使使用先进的方法,也无法超过传统模型,这凸显了临床预测的局限性.

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