人工智能如何改变医学学生和医生的培训?
Yilin Ning1, Jasmine Chiat Ling Ong2, Haoran Cheng3
1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore; Duke-National University of Singapore (NUS) AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore.
The Lancet. Digital health
|October 5, 2025
概括
人工智能 (AI) 可以改变医学教育和医生培训,但存在挑战. 有效的整合需要明确的指导方针,解决道德问题,以及为全球医疗保健改进提供合作资金.
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
- 全球卫生工作人员发展
背景情况:
- 越来越多的医疗保健需求和劳动力短缺需要创新的解决方案.
- 人工智能 (AI),特别是生成性AI,为医学教育提供了机会.
- 人工智能在医疗培训中的公平有效的全球整合仍然存在挑战.
研究的目的:
- 探索将AI整合到医学教育和医生培训中的机遇和挑战.
- 以现实世界的例子来检查AI在增强临床和研究培训中的作用.
- 解决人工智能实施的伦理考虑和实际限制.
主要方法:
- 医学教育中人工智能应用的文献审查和分析.
- 探索展示AI对培训影响的案例研究.
- 讨论与道德,财务和资源相关的挑战.
主要成果:
- 人工智能有潜力增强高真实性临床培训和研究能力.
- 伦理方面的担忧包括人工智能使用的界限不清楚,需要明确的指导方针.
- 实际限制涉及人力,财务和资源限制,需要成本评估和融资模型.
结论:
- 在医学教育中成功整合人工智能需要医疗机构,大学,行业和监管机构之间的合作.
- 清晰的指导方针和可持续的融资模式对于有效的AI实施至关重要.
- 医疗教育中人工智能驱动的转型可以改善全球医疗保健服务.
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