Application of machine learning in the restoration of dentition defects
10.13591/j.cnki.kqyx.2025.09.012
- VernacularTitle:机器学习在牙列缺损修复中的应用
- Author:
Xinxi YUAN
1
;
Yekang XIA
1
;
Han WANG
1
;
Jian HU
1
;
Laikui LIU
1
;
Weiwei LIANG
1
Author Information
1. 南京医科大学附属口腔医院修复科,江苏 南京(210029)
- Publication Type:Journal Article
- Keywords:
machine learning;
artificial intelligence;
prothodontics;
dental defect
- From:
STOMATOLOGY
2025;45(9):707-712,720
- CountryChina
- Language:Chinese
-
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 re-search on machine learning in prosthodontics.