人工智能在医学教育中的未来影响
Forrest Bohler1, Nikhil Aggarwal1, Garrett Peters1
1Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, USA.
Cureus
|February 8, 2024
概括
医学院必须整合人工智能 (AI) 培训,为医生准备在医疗保健中发挥越来越大的作用. 课程更新对于掌握AI医疗应用的熟练程度至关重要.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 医疗保健技术整合 医疗保健技术整合
背景情况:
- 人工智能 (AI) 正在迅速发展,需要将其整合到医疗实践中.
- 医生培训必须不断发展,包括人工智能工具和应用.
- 目前的医学课程可能没有充分准备未来的医生在医疗保健中的AI.
研究的目的:
- 概述将人工智能 (AI) 纳入医学课程的关键考虑因素.
- 引导医疗培训计划的领导者对AI课程开发的指导.
- 准备未来的医生劳动力在医疗保健中的AI.
主要方法:
- 在医学教育中对AI的文献综述.
- 分析当前的医疗培训计划结构.
- 讨论人工智能课程整合最佳实践.
主要成果:
- 确定医生人工智能能力的关键领域.
- 在医学院,住院和奖学金中制定课程的框架.
- 强调需要适应性和不断发展的培训计划.
结论:
- 医学教育工作者必须优先考虑人工智能培训,以为未来的医生提供设备.
- 人工智能在课程中的战略整合对于医疗实践至关重要.
- 领导层的承诺对于在医学教育中成功采用人工智能至关重要.
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