医学教育:学习与人工智能的成功整合和学习人工智能的成功考虑
Dina Domrös-Zoungrana1, Neda Rajaeean1, Sebastian Boie1
1Pfizer Pharma GmbH, Berlin, Germany.
Journal of medical education and curricular development
|December 10, 2024
概括
人工智能 (AI) 在医学中提供了变革性的潜力,影响药物开发,诊断和患者护理. 将人工智能整合到医学教育中对于准备医疗保健专业人员负责使用人工智能至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 数字健康教育 数字健康教育
背景情况:
- 机器学习等人工智能 (AI) 领域在医学上越来越适用.
- 人工智能在药物开发,诊断,患者护理和监测方面具有变革性的潜力.
- 制药行业正在迅速采用人工智能,需要新的沟通策略.
研究的目的:
- 倡导将AI工具和方法整合到医学教育中.
- 为医疗保健专业人员准备人工智能在医学中的不断扩大作用.
- 提高医生在实践和科学交流中有效和负责任地使用AI的能力.
主要方法:
- 讨论将基于AI的工具用于个性化的学习.
- 在诊断途径和数据分析中探索AI应用.
- 强调"与AI学习"和"关于AI学习"的重要性.
主要成果:
- 在医学教育中整合人工智能可以促进使用人工智能工具的流性.
- 了解AI的潜力和局限性对医生来说至关重要.
- 医学教育必须适应动态的,人工智能加速的知识格局.
结论:
- 人工智能在医学中至关重要,需要在医学教育中进行适应.
- 医疗专业人员需要对人工智能的基础知识,以便有效和负责任地应用.
- 将人工智能整合到课程中,确保了对人工智能驱动的医疗保健进步的准备.
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