通过培养人工智能驱动的创新,重新构想医疗保健教育
1Comprehensive Health Research Centre (CHRC), NOVA Medical School|Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria, Lisbon, 1159-056, Portugal. jorge.mendes@nms.unl.pt.
BMC medical education
|November 26, 2025
概括
人工智能 (AI) 在医学教育中的整合至关重要,因为目前的课程缺乏AI素养. 通过基于问题的学习和道德培训实施人工智能将为未来的医疗保健专业人员准备人工智能驱动的未来.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 医疗保健专业人员需要提高人工智能素养.
- 目前的医学课程不足以为学生准备在实践中使用人工智能.
- 人工智能正在迅速改变医疗保健和患者护理.
研究的目的:
- 探索AI在医疗保健医学教育中的作用.
- 在医疗保健专业人员中识别人工智能素养方面的差距.
- 提出将人工智能整合到医学课程中的策略,并解决伦理方面的考虑.
主要方法:
- 文献审查以确定人工智能集成中的挑战和机遇.
- 对案例研究,课程和有效教学方法的框架进行分析.
- 检查多学科合作模式,以弥合人工智能创新和应用.
主要成果:
- 医疗课程需要进行重大更新,以包括人工智能能力.
- 基于问题的学习,模拟和案例研究可以提高人工智能技能和批判性思维.
- 嵌入伦理考虑解决了AI相关的问题,如数据隐私和偏见.
结论:
- 用人工智能重新想象医疗保健教育对于未来的准备至关重要.
- 整合人工智能,解决道德问题和促进合作将使专业人士能够利用人工智能.
- 这种范式转变对于改善患者护理和推动医疗创新至关重要.
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