医学教育中的人工智能:承诺,陷和实际途径
1University College London Medical School, London, WC1E 6BT, UK.
Advances in medical education and practice
|June 20, 2025
概括
人工智能 (AI) 正在彻底改变医疗保健,需要将其整合到医学教育中. 未来的医生需要人工智能工具的培训,以提高患者的护理,并确保在临床实践中进行道德,安全的应用.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 数字化健康转型
背景情况:
- 医疗保健正在迅速整合人工智能 (AI) 工具用于诊断,管理和临床决策支持.
- 医学教育在整合人工智能方面落后,为未来的医生创造了基本技能上的差距.
- 人工智能在医学中的有效和道德使用需要积极的教育方法.
研究的目的:
- 探索人工智能在医学教育中的作用和影响.
- 识别与医疗保健培训中人工智能整合相关的机遇和挑战.
- 提出将人工智能教育纳入医学课程的实际策略.
主要方法:
- 文献审查和对当前医疗保健人工智能应用的分析.
- 探索AI在医疗实践中的潜在好处,风险和伦理考虑.
- 为课程增强和实践培训模块制定建议.
主要成果:
- 人工智能为提高效率,诊断准确性和患者护理提供了巨大的潜力.
- 关键的挑战包括过度依赖,算法偏见,数据安全以及对非技术工作流改善的需求.
- 医学院必须整合以人工智能为重点的培训,包括可选模块和实践经验.
结论:
- 整合人工智能教育对于准备未来的医生负责有效地使用人工智能至关重要.
- 一个平衡的方法,结合人工智能培训与非技术工作流的增强,是必不可少的.
- 将人工智能技能赋予医生,将促进一个高效,道德和以患者为中心的医疗保健系统.
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