牙科教育中的人工智能:应用,挑战和差距的全面审查
Mohammed El-Hakim1, Robert Anthonappa1, Amr Fawzy1
1University of Western Australia, Dental School, Perth, WA 6009, Australia.
Dentistry journal
|September 26, 2025
概括
人工智能 (AI) 在牙科教育中表现有前途,用于学习和评估. 然而,要有效地整合人工智能,必须解决伦理问题和临床医生主导的开发需求等挑战.
科学领域:
- 牙科教育 牙科教育
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 牙科教育正在探索人工智能应用,以提高学生的学习,评估和诊断培训.
- 现有的AI工具在评估复杂技能方面存在局限性,需要进一步开发.
研究的目的:
- 通过学习,评估和诊断培训在牙科教育中绘制当前AI应用的地图.
- 确定与人工智能在该领域实施相关的关键局限性和挑战.
主要方法:
- 根据阿克西和奥马利框架和PRISMA-ScR指导方针进行范围审查.
- 在2025年3月使用关键词搜索了六个数据库:"牙科教育"",人工智能"",机器学习"和"学生评估".
- 包括17个英语语言的实证研究,重点是来自547个已识别的研究中的牙科学生教育.
主要成果:
- 人工智能对牙科教育中的程序准确性,诊断信心,评估效率和内容交付产生积极影响.
- 人工智能很难评估精巧和临床判断等细微能力.
- 挑战包括各种AI定义,伦理/隐私问题,模型可变性和牙科在AI开发中缺乏领导力.
结论:
- 人工智能有很大的潜力改善牙科教育成果.
- 标准化框架,道德监督和临床医生领导的开发对于人工智能的相关性和可靠性至关重要.
- 未来的研究应该专注于实时AI反系统和精确的AI定义,以实现一致的应用和评估.
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