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大型语言模型与血栓形成专家:对静脉血栓塞栓症患者教育和临床决策的比较研究

Nikola Vladic1, Stephan Nopp2, Ingrid Pabinger3

  • 1Division of Hematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria. Electronic address: https://x.com/VladicNikola.

Journal of thrombosis and haemostasis : JTH
|September 27, 2025
PubMed
概括

大型语言模型 (LLM) 在患者对血栓形成和血液静止的教育方面表现出色,表现优于专家. 在临床决策方面,LLM还与专家的表现相匹配或超过,其反应与人类专家无法区分.

关键词:
人工智能的人工智能是人工智能.血液静止 血液静止 血液静止大型语言模型.调查和问卷调查和问卷调查.血栓形成的原因是血栓形成.

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