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Updated: Jun 16, 2025

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一个语言模型驱动的模拟患者,为历史记录提供自动反:前性研究

Friederike Holderried1, Christian Stegemann-Philipps1, Anne Herrmann-Werner1

  • 1Tübingen Institute for Medical Education (TIME), Medical Faculty, University of Tübingen, Tübingen, Germany.

JMIR medical education
|August 16, 2024
PubMed
概括

生成式预训练变压器 (GPT) 4有效地为医学生提供了结构化的反,他们与模拟患者练习历史记录. 这种人工智能工具显示出提高医学教育的希望,尽管反特异性的局限性较小.

关键词:
聊天GPT 聊天GPT 聊天GPT:法学士 (LLM) 是一个专业.在法律上,LLMs.在NLP中,我们使用了NLP.这就是TEL TEL.人工智能的人工智能是人工智能.聊天机器人 聊天机器人聊天机器人聊天机器人聊天机器人通信 通信 通信 通信 通信.沟通技巧 沟通技巧 沟通技巧交谈代理人是一个对话代理人.交谈代理人 交谈代理人历史 历史 历史 历史历史 历史 历史 历史 历史互动互动互动互动互动.互动是一种互动.语言模型语言模型语言模型语言模型机器学习是机器学习.医学教育 医学教育自然语言处理自然语言处理.关系关系关系关系关系关系关系.关系关系关系关系关系关系.这是一个模拟模拟的模拟.学生学生的学生学生的学生学生 学生 学生 学生技术增强教育技术增强教育虚拟患者通信 虚拟患者通信

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