医疗保健和医学教育的人工智能:系统审查
Li Sun1,2, Changhao Yin1,2, Qiuling Xu3
1Department of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University Mudanjiang 157011, Heilongjiang, China.
American journal of translational research
|August 10, 2023
概括
人工智能 (AI) 正在改变医学教育,增强放射学和诊断等领域的临床培训. 然而,研究质量不佳和缺乏道德准则迫切需要制定医学人工智能政策.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 融入医疗实践和教育意味着医疗保健的重大转变.
- 人工智能应用在各种行业中越来越普遍,对医学教育产生重大影响.
- 本文讨论了人工智能在医学教育中的现状和挑战.
研究的目的:
- 提供关于人工智能整合医学教育当前状态和挑战的全面概述.
- 提供关于人工智能在医学和医学教育中的现有困境的见解和观点.
- 审查人工智能和医学课程的最新进展,特别是在COVID-19大流行背景下.
主要方法:
- 在PubMed,Embase,Cochrane和CNKI数据库中进行系统的文献搜索.
- 文献综述侧重于2017年至2022年7月医疗和医学教育中的AI.
- 纳入标准优先考虑详细介绍AI在医学教育中的当前情况或挑战的研究.
主要成果:
- 医学教育中的AI主要支持临床专业培训 (放射学,诊断,手术,心脏病学,牙科) 和继续教育.
- 人工智能工具提高了医生的效率和诊断准确度;这个领域正在迅速扩大.
- 对于涉及政策制定者和医学,人工智能和教育领域的专家在道德问题和监管标准上达成共识是非常必要的. 医学学生通常欢迎人工智能进入课程,但研究质量目前很低.
结论:
- 该研究提出了医疗课程中AI的系统审查,特别是在COVID-19后的相关研究中.
- 医学中的AI课程缺乏标准化的监管,突出提出指导方针的需要.
- 提供了建议,以解决当前的监管差距,并提高AI在医学教育研究的质量.
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