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人工智能在基于模拟的培训中的健康职业教育:导航子洞
Rakhi Negi1, Deepti Chopra2, Komal Maheshwari3
1Professor & Commanding Officer, Military Hospital Bhuj, Kutch, Gujarat, India.
Medical journal, Armed Forces India
|November 21, 2025
概括
人工智能 (AI) 通过改进场景和反来增强医疗保健教育中的基于模拟的培训 (SBT). 人工智能偏见和成本等挑战存在,但合作推动了人工智能集成.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 基于模拟的培训 (SBT)
背景情况:
- 基于模拟的培训 (SBT) 从低保真方法演变为高保真方法.
- 人工智能 (AI) 的整合为推进SBT提供了新的机会.
研究的目的:
- 审查人工智能在增强和转变基于模拟的培训中的作用.
- 在SBT中识别AI实施的挑战和障碍.
- 提供对未来人工智能在SBT中的整合概述.
主要方法:
- 关于人工智能在基于模拟的培训中的应用的文献综述.
- 分析AI对场景设计,现实主义,反和参与的影响.
- 确定包括人工智能偏见,成本和道德考虑在内的挑战.
主要成果:
- 人工智能通过改进的场景设计,现实主义和反成功提高了模拟效率.
- 在SBT平台中的AI应用已经证明了培训效率的提高.
- 确定的挑战包括算法偏见,黑子错误,成本和道德问题.
结论:
- 人工智能为改造和改进基于模拟的健康职业培训提供了巨大的潜力.
- 解决与偏见,成本和道德相关的挑战对于成功的AI集成至关重要.
- 利益相关者之间的协作努力正在加速在SBT中采用AI.
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