机器学习在牙列缺损修复中的应用

doi:10.13591/j.cnki.kqyx.2025.09.012

摘要/Abstract

摘要：

机器学习作为人工智能核心分支,近年来在牙列缺损修复领域逐渐展现出显著潜力。通过数据挖掘和模式识别等技术,机器学习已在口腔种植修复、固定桥设计、可摘局部义齿制作等多个方面实现应用。该文旨在通过回顾机器学习在上述牙列缺损三个领域的应用,梳理当前的发展现状,为未来的研究提供方向,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, 牙列缺损

Abstract:

Machine learning, as a core branch of artificial intelligence, has gradually demonstrated significant potential in the field of dentition defect repair in recent years. By employing techniques such as data mining and pattern recognition, machine learning has been applied in various aspects including oral implant restoration, fixed bridge design, and fabrication of removable partial dentures. This paper seeks to provide a comprehensive review of machine learning applications within the aforementioned three aspects. It endeavors to assess the current developmental landscape and chart a course for future investigative endeavors, in hopes of offering a reference for research on machine learning in prosthodontics.

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

中图分类号:

R78.4

袁鑫玺, 夏也康, 王涵, 胡建, 刘来奎, 梁薇薇. 机器学习在牙列缺损修复中的应用[J]. 口腔医学, 2025, 45(9): 707-712.

YUAN Xinxi, XIA Yekang, WANG Han, HU Jian, LIU Laikui, LIANG Weiwei. Application of machine learning in the restoration of dentition defects[J]. Stomatology, 2025, 45(9): 707-712.

图/表 1

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