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Updated: Feb 7, 2026

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基于BERT的大型语言模型的开发,用于使用现实世界的对话进行紧急部门分拣

Sukyo Lee1, Sumin Jung2, Jong-Hak Park1

  • 1Department of Emergency Medicine, Korea University Ansan Hospital, Ansan-si, Gyeonggi-do 15355, Republic of Korea.

Journal of the American Medical Informatics Association : JAMIA
|February 6, 2026
PubMed
概括

这项研究开发了基于BERT的大型语言模型 (LLM),训练了真实急诊室对话,用于患者紧急分类. 人工智能模型在准确识别紧急案件方面显著超过了ChatGPT.

关键词:
临床对话 临床对话应急部门的分类.可解释的人工智能大型语言模型.自然语言处理自然语言处理.

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