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Updated: Jun 6, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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大型语言模型通过患者模拟和结构化的反来改善医学学生的临床决策:一个随机对照试验

Emilia Brügge1,2, Sarah Ricchizzi1,2, Malin Arenbeck1,2

  • 1Connectome - Student Association for Neurosurgery, Neurology and Neurosciences, Berlin, Germany.

BMC medical education
|November 28, 2024
PubMed
概括

人工智能驱动的患者模拟显著提高了医学学生的临床决策 (CDM) 培训. 在这些人工智能交互中,结构化的反可以提高历史学习技能,为传统医学教育提供了具有成本效益的补充.

关键词:
临床决策 临床决策大型语言模型.医学学生教育教育教育.患者模拟培训培训 患者模拟培训结构化的反是结构化的反.

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