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医学教育中深度学习的研究:机遇,成就和未来的挑战

Hossein Moradimokhles¹, Gwo-Jen Hwang², Hossein Zangeneh¹

¹Department of Educational Sciences, Faculty of Humanities, Bu-Ali Sina University, Hamedan, Iran.

Journal of advances in medical education & professionalism

|August 23, 2024

概括

医学教育中的深度学习 (DL) 提供了个性化的反,并提高了学生的熟练程度. 在教育和临床环境中整合DL可以提高学习成果,使其成为一种有价值和不断发展的策略.

科学领域:

医疗教育技术技术医学教育
医疗保健中的人工智能
深度学习应用程序

背景情况:

越来越多的人对推进医学深度学习 (DL) 感兴趣.
医学教育工作者对于采用DL技术的不情愿.
需要检查DL的局限性和对医学教育质量的潜在影响.

研究的目的:

探索医学教育中深度学习的前景.
确定DL对提高教育质量的好处.
评估DL在医疗培训中的整合现状.

主要方法:

系统审查遵循系统审查和元分析 (PRISMA) 协议的首选报告项目.
在六个数据库中对相关研究进行了全面的搜索.
从最初的981篇文章中过重复的11篇研究.

主要成果:

对于医疗和教育技术的个性化协助和反,DL应用正在引起人们的注意.
研究主要集中在教医学生在课堂上使用DL应用程序.
医学学习环境中的DL组件涵盖教育 (例如语音识别) 和临床 (例如诊断) 设置.

结论:

深度学习提高了医学学生的教育和熟练使用DL工具.
DL是一个强大的工具,在医学教育中产生了卓越的结果.
预计DL在医学教育中的使用将继续成为一个重要的研究领域和课堂战略.

关键词:

数据挖掘是一种数据挖掘.深度学习是一种深度学习.文献综述文献综述文献综述医学教育医学教育在线学习在线学习.

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