国际口腔医学杂志

国际口腔医学杂志 ›› 2026, Vol. 53 ›› Issue (5): 639-646.doi: 10.7518/gjkq.2026631

• 数字化口腔医学专栏 • 上一篇    

人工智能在牙体间接修复中的应用

常俐俐1(),万冕1,徐欣2()   

  1. 1.口腔疾病防治全国重点实验室 国家口腔医学中心 口腔疾病国家临床医学研究中心 四川大学华西口腔医院牙体牙髓病科 成都 610041
    2.口腔疾病防治全国重点实验室 国家口腔医学中心 口腔疾病国家临床医学研究中心 四川大学华西口腔医院口腔预防科 成都 610041
  • 收稿日期:2025-09-22 修回日期:2026-06-29 出版日期:2026-09-01 发布日期:2026-08-28
  • 通讯作者: 徐欣
  • 作者简介:常俐俐，硕士，Email：changlili0301@163.com
  • 基金资助:
    四川省自然科学基金(2025ZNSFSC0762)

Applications of artificial intelligence in indirect tooth restorations

Lili Chang1(),Mian Wan1,Xin Xu2()   

  1. 1.State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
    2.State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Preventive Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China Supported by: Natural Science Foundation of Sichuan Province (2025ZNSFSC0762 )
  • Received:2025-09-22 Revised:2026-06-29 Online:2026-09-01 Published:2026-08-28
  • Contact: Xin Xu

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摘要：

牙体间接修复术是修复牙体缺损、恢复牙齿功能及美观的重要技术。牙体疾病的准确诊断、牙体预备的规范、修复体的精确设计和制造等均是影响牙体间接修复效果的重要因素。人工智能（AI）因其高效的三维数据处理能力、模式识别能力和智能决策能力，已被应用于辅助牙体间接修复。本文重点围绕AI应用于牙体疾病诊断、牙体预备、口内扫描、修复体设计、修复体制造和疗效预测等方面的研究现状进行综述，并对当前研究所存在的不足和未来发展方向进行探讨，以期为推动口腔诊疗智能化提供思路。

关键词: 人工智能, 机器学习, 牙体间接修复

Abstract:

Indirect tooth restorations are crucial for repairing dental defects and restoring the functional and aesthetic integrity of teeth. The success of indirect restorations depends on several key factors, including accurate diagnosis, standardized tooth preparation, and precise design and fabrication. Artificial intelligence (AI), with its capabilities in efficient three-dimensional data processing, pattern recognition, and intelligent decision-making, has been extensively utilized in indirect restorations. This review summarizes current advances in AI applications in dental disease diagnosis, tooth preparation, intraoral scanning, restoration design, restoration fabrication, and treatment outcome prediction. Moreover, the existing limitations and future development directions are discussed to provide insights for the advancement of intelligent dental care.

Key words: artificial intelligence, machine learning, indirect dental restoration

中图分类号: 

  • R781.05

表 1

不同AI模型在龋病诊断中的性能"

研究者模型数据类型样本量性能指标/%
准确性灵敏度特异性
Ahmed等[16]U-Net（CNN）咬翼片554807583
Bayraktar等[17]YOLO（CNN）咬翼片80094.5972.2672.26
Zhu等[18]CariesNet（CNN）全景片3 12793.6186.01-
Esmaeilyfard等[11]CNN锥形束CT81998.694.591.8
Qi等[19]CariesAI-3D（CNN）锥形束CT2 14888.687.3-
Yoon等[10]Cascade R（CNN）口内照片24 57876.9--
Ahmed等[20]PointNetSeg口内扫描数据89389.59188
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