与传统的CAD软件程序相比,基于深度学习的单冠设计方法的准确性和时间效率:系统审查
Luisa Madeira Lemos1, Anne Kaline Claudino Ribeiro2, Belmiro Cavalcanti do Egito Vasconcelos3
1Postgraduate student, Department of Dentistry, Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil.
The Journal of prosthetic dentistry
|November 8, 2025
概括
与传统的CAD系统相比,深度学习 (DL) 软件可以提高单牙冠设计的准确性和效率. 这一进步大大减少了工作时间,同时保持或提高了修复轮和终点线精度.
科学领域:
- 牙科技术 牙科技术
- 人工智能在牙科中的应用
- 数字牙科数字牙科
背景情况:
- 设计牙科修复轮传统上是劳动密集型的.
- 计算机辅助设计和计算机辅助制造 (CAD-CAM) 系统自动化了皇冠设计的各个方面.
- 深度学习 (DL) 与传统CAD对单牙冠的比较准确性尚未得到充分证实.
研究的目的:
- 系统地审查和比较基于DL的软件的准确性和时间效率与用于单牙冠设计的传统CAD系统.
- 评估DL在复制闭塞形态和终点线细节方面的表现.
主要方法:
- 根据PRISMA指南进行了系统审查.
- 在5个数据库中搜索到2025年7月,确定了体外研究.
- 研究比较了DL软件与传统CAD用于单牙冠重建和工作时间;方法质量使用MINORS进行了评估.
主要成果:
- 七项研究符合纳入标准.
- 与传统CAD相比,基于DL的软件在轮设计和终点线检测方面表现出优越或可比的准确性.
- 内部适合差异在临床上是可以接受的 (55.483.1μm);DL显著减少了工作时间 (P<.05).
结论:
- 基于DL的软件为单牙皇冠的闭塞形态和终点线设计提供了更高的准确性.
- 与传统CAD相比,DL系统显著减少了皇冠设计所需的时间.
- 对于高效准确的数字牙科工作流程来说,DL是一个有前途的进步.
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