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人工智能驱动的虚拟患者用于手术培训 - - 一种基于MR和NLP的方法

Yemina Imam, Imran Khan Niazi, Kelly Holt

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 3, 2025

概括

现在,手术实习生可以与人工智能患者一起使用自然语言处理 (NLP) 进行训练,以练习患者病史记录. 这种人工智能工具可以减少内部压力,并在真正的患者互动之前提高临床技能.

科学领域:

医学教育医学教育
医疗保健中的人工智能
自然语言处理自然语言处理.

背景情况:

整形手术实习生因为害怕患者的刺激而与患者病史作斗争.
犹的问题延长了训练,并阻碍了理解患者行为的技能发展.

研究的目的:

介绍一个基于人工智能的患者模拟器,用于治疗手术实习生培训.
为实践患者互动技巧提供安全和受控的环境.

主要方法:

使用自然语言处理 (NLP) 开发人工智能患者.
虚拟交互平台,为手术实习生实践患者病史记录.

主要成果:

人工智能患者允许实习生在不担心被评判或引起患者刺激的情况下进行培训.
促进虚拟,安全和受控的互动,以提高技能.

结论:

人工智能患者模拟提高了手术实习生的训练效率和临床信心.
该技术对其他需要患者交互技能的医疗保健专业人员有潜在的应用.

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