使用人工智能工具准备医学院申请
Daniel A Hashimoto1, Kevin B Johnson2
1D.A. Hashimoto is assistant professor of surgery and computer and information science, and affiliated faculty, General Robotics, Automation, Sensing, and Perception Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania; ORCID: http://orcid.org/0000-0003-4725-3104 .
概括
人工智能 (AI) 工具可以帮助医学院申请人,但需要指导方针. 医学院应该整合人工智能教育,而不是禁止它,培养其道德使用能力.
科学领域:
- 医疗教育 医学教育
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 越来越容易获得,并影响日常生活和医学.
- 消费者友好的人工智能工具,包括大型语言模型 (LLM),可以生成复杂的文本,引发了关于它们在医学院应用中的使用的问题.
研究的目的:
- 检查使用人工智能工具用于医学院申请准备的适当性.
- 倡导在申请中允许的人力和技术援助的明确指导方针.
- 建议将人工智能纳入医学教育,而不是实施全面禁止.
主要方法:
- 人工智能在医学中的历史概述.
- 大型语言模型 (LLM) 的描述.
- 人工智能援助与人类援助 (家庭,顾问) 的比较分析.
主要成果:
- 应用中的人工智能辅助提出了与人类辅助相似的伦理问题.
- 目前关于申请援助的指导方针对于技术工具是不清楚的.
- 在医学教育中全面禁止人工智能可能会阻碍有益的整合.
结论:
- 医学院应该为AI在应用中的使用制定明确的指导方针.
- 通过促进知识共享,将工具集成到作业中,并开发人工智能识字课程来拥抱AI.
- 专注于教导人工智能作为未来医疗专业人员的能力.
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