大型语言模型的机遇,挑战和未来方向,包括医疗教育中的ChatGPT:系统范围审查
Xiaojun Xu1, Yixiao Chen1, Jing Miao1
1Division of Hematology/Oncology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Zhejiang, China
Journal of educational evaluation for health professions
|March 15, 2024
概括
像ChatGPT这样的人工智能 (AI) 工具为医学教育提供了好处,但需要仔细整合. 解决局限性和风险对于有效使用人工智能在培训未来医疗保健专业人员至关重要.
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
- 大型语言模型
背景情况:
- ChatGPT是一个复杂的AI驱动的大型语言模型,在多语言通信和复杂的响应生成方面展示了先进的功能.
- 虽然提供了医疗教育的巨大潜力,但ChatGPT的整合需要对其固有的局限性和潜在风险有充分的了解.
研究的目的:
- 审查有关ChatGPT在医学教育中的应用和挑战的当前文献.
- 确定未来关于医疗培训中人工智能的研究和开发的关键领域.
主要方法:
- 对2022年以后发表的英语文章进行了范围审查.
- 在主要数据库中进行文献搜索,包括PubMed/MEDLINE,Embase和Web of Science.
- 有关研究被系统地提取和分析.
主要成果:
- 聊天GPT在医学教育中提出了多样化的应用,包括个性化学习,模拟开发和学术写作援助.
- 确定的主要挑战包括保持学术完整性,确保数据准确性和减轻对学生学习的潜在负面影响.
- 建议包括为人工智能使用制定明确的准则,并专注于培养学生的人工智能素养.
结论:
- 聊天GPT对医学教育具有变革性的潜力,需要谨慎的战略实施.
- 成功的整合需要平衡地关注人工智能能力及其对学生和教育工作者的影响.
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