改变军事医疗保健教育和培训:人工智能整合为未来的准备做好准备
Justin G Peacock1, Rebekah Cole2,3, Joshua Duncan4
1Department of Radiology, Uniformed Services University, Bethesda, MD 20814, USA.
Military medicine
|May 3, 2025
概括
军事医疗保健教育必须整合人工智能 (AI),为未来的作战任务准备专业人员. 这需要教师,学生和行业合作伙伴之间的合作,以开发AI准备的课程,并确保在患者护理和研究中安全实施AI技术.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 军人卫生保健 军人卫生保健
背景情况:
- 人工智能 (AI) 正在改变医疗保健的提供.
- 未来的作战任务将需要医疗保健专业人员使用人工智能工具.
- 目前的医学教育不充分整合人工智能知识,造成准备的差距.
研究的目的:
- 通过AI的理解和应用来审查增强军事医疗保健教育的战略.
- 探索人工智能技术在军事人员医疗培训中的整合.
主要方法:
- 关于人工智能在医学和医学教育中的整合的文献综述.
- 对一个专注于医疗保健教育中的人工智能教师发展计划的分析 (初步数据).
主要成果:
- 有效的AI整合需要教育工作者愿意在他们的角色中采用AI工具.
- 教师和实习生的合作课程开发可以加速人工智能的采用.
- 人工智能在军事医疗保健中的安全整合需要行业伙伴关系和先进技术,如安全的云计算和区块链.
结论:
- 人工智能目前正在军事医疗保健系统中实施.
- 改革军事医学教育对于准备未来专业人士至关重要.
- 涉及教师,学生和行业合作伙伴的联合努力对于成功的AI集成至关重要.
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