口腔医学 ›› 2024, Vol. 44 ›› Issue (7): 551-550.doi: 10.13591/j.cnki.kqyx.2024.07.012

• 综述 • 上一篇    下一篇

机器学习在牙体缺损修复中的应用

王悦,厉杭芸,汤婉怡,吴珺华()   

  1. 同济大学口腔医学院·附属口腔医院口腔修复教研室,上海牙组织修复与再生工程技术研究中心,上海(200072)
  • 收稿日期:2023-11-07 出版日期:2024-07-28 发布日期:2024-07-15
  • 通讯作者: 吴珺华 E-mail:wujunhua_sh@tongji.edu.cn
  • 基金资助:
    上海市科委西医引导类项目(19411962200)

Application of machine learning in restoration of dental defect

WANG Yue,LI Hangyun,TANG Wanyi,WU Junhua()   

  1. Department of Prosthodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai 200072, China
  • Received:2023-11-07 Online:2024-07-28 Published:2024-07-15

摘要:

机器学习作为人工智能的重要分支,其算法的快速发展及应用,契合了口腔修复数智化的需求。本文基于机器学习的基本概念,综述了以往研究中机器学习算法在牙体缺损的修复体设计、牙齿比色、预备体颈缘线自动检测中的应用,并简要分析了其在牙体缺损修复领域中的应用优势及目前研究存在的问题,以期为机器学习算法在口腔修复领域的研究提供参考。

关键词: 机器学习, 人工智能, 口腔修复, 牙体缺损

Abstract:

As an important branch of artificial intelligence, machine learning meets the demand for digital intelligence in prosthodontics with the rapid development and application of its algorithm. This review provides an overview of the application of machine learning algorithms in dental restoration, including the design of dental prostheses, tooth shade selection, and tooth preparation line detection. Additionally, this paper also briefly analyzes the merits of machine learning and discusses the challenges and issues in current research, to provide references for research on machine learning algorithms in prosthodontics.

Key words: machine learning, artificial intelligence, prosthodontics, dental defect

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