国际口腔医学杂志

国际口腔医学杂志 ›› 2026, Vol. 53 ›› Issue (5): 667-675.doi: 10.7518/gjkq.2026131

• 数字化口腔医学专栏 • 上一篇    下一篇

人工智能在口腔正畸诊疗中应用的研究进展

朱晓宇(),程晓雨,刘梦潇,李冉,王林娜,侯彦()   

  1. 河北医科大学口腔医学院·口腔医院正畸科 河北省口腔医学重点实验室 河北省口腔疾病临床医学研究中心 石家庄 050017
  • 收稿日期:2025-09-25 修回日期:2026-04-29 出版日期:2026-09-01 发布日期:2026-08-28
  • 通讯作者: 侯彦
  • 作者简介:朱晓宇，医师，硕士，Email：frankz5@163.com
  • 基金资助:
    河北省政府资助临床医学优秀人才培养项目(ZF2025242)

Research progress in the application of artificial intelligence to orthodontic diagnosis and treatment

Xiaoyu Zhu(),Xiaoyu Cheng,Mengxiao Liu,Ran Li,Linna Wang,Yan Hou()   

  1. Dept. of Orthodontics, School of Stomatology and Stomatology Hospital, Hebei Medical University, Hebei Province Key Laboratory of Stomatology, Hebei Province Clinical Medical Research Center for Oral Diseases, Shijiazhuang 050017, China
  • Received:2025-09-25 Revised:2026-04-29 Online:2026-09-01 Published:2026-08-28
  • Contact: Yan Hou
  • Supported by:
    Hebei Provincial Government-Funded Clinical Medicine Outstanding Talents Training Program(ZF2025242)

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摘要：

随着机器学习和深度学习技术的发展，人工智能（AI）在口腔正畸诊疗中的应用逐渐增多，主要涉及二维影像自动分析、三维影像处理、数字化牙模分析、治疗方案辅助决策及颜面形态预测等方面。本文围绕AI在口腔正畸诊疗中的主要应用场景进行综述，分析其在提高影像分析效率、辅助诊断评估和支持治疗方案设计中的应用价值，并从数据质量、模型泛化能力、可解释性、临床流程适配及伦理法律风险等方面讨论其临床转化面临的问题，旨在推动口腔正畸诊疗向数智化方向高质量发展。

关键词: 人工智能, 口腔正畸, 机器学习, 深度学习, 辅助诊疗

Abstract:

With the development of machine learning and deep learning, artificial intelligence has been increasingly applied in orthodontic diagnosis and treatment, mainly including automated analysis of two-dimensional images, three-dimensional image processing, digital dental cast analysis, treatment decision support, and prediction of facial morphology after treatment. In this review, the main application scenarios of artificial intelligence in orthodontics are summarized. Moreover, the potential value of artificial intelligence in improving image analysis efficiency, assisting diagnostic assessment, and supporting treatment planning is analyzed. The challenges for clinical translation in terms of data quality, model generalizability, interpretability, clinical workflow integration, and ethical and legal risks are discussed. This review aims to promote high-quality development of orthodontic diagnosis and treatment toward digital and intelligent transformation.

Key words: artificial intelligence, orthodontics, machine learning, deep learning, assisted diagnosis and treatment

中图分类号: 

  • R783.5

图 1

AI在口腔正畸诊疗中的应用框架CBCT：锥形束计算机断层扫描（cone-beam computed tomography）。"

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