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Updated: Feb 19, 2026

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对9个大型语言模型在非膜性心房的抗凝固决策中的性能评估

Yujie Wen1, Zhenzhen Deng1, Xiaoyan Wang2

  • 1Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.

Research and practice in thrombosis and haemostasis
|February 18, 2026
PubMed
概括

大型语言模型 (LLM) 在指导非膜动 (NVAF) 的抗凝血治疗中显示出不同的准确性. 快速优化显著提高了性能,但LLM还不是独立的决策者.

关键词:
抗凝固剂是一种抗凝固剂.人工智能的人工智能是人工智能.心房动是心房动的一种.在临床决策过程中.大型语言模型.

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