口腔医学研究 ›› 2023, Vol. 39 ›› Issue (10): 862-865.DOI: 10.13701/j.cnki.kqyxyj.2023.10.002

• 综述 • 上一篇    下一篇

人工智能在正畸诊疗及疗效预测中的应用进展

刘鎵仪, 周彦恒*   

  1. 北京大学口腔医学院·口腔医院正畸科;国家口腔医学中心;国家口腔疾病临床医学研究中心;口腔数字化医疗技术和材料国家工程实验室;口腔数字医学北京市重点实验室 北京 100081
  • 收稿日期:2023-03-02 出版日期:2023-10-28 发布日期:2023-10-25
  • 通讯作者: *周彦恒,E-mail: yanhengzhou@vip.163.com
  • 作者简介:刘鎵仪(2000~ ),女,新疆人,八年制博士在读,主要从事口腔正畸临床及研究工作。
  • 基金资助:
    国家自然科学基金面上项目(编号:62076011),北京大学口腔医院青年科研基金(编号:PKUSS20200114)

Application Progress of Artificial Intelligence in Orthodontic Diagnosis, Treatment, and Soft Tissue Prediction

LIU Jiayi, ZHOU Yanheng*   

  1. Department of Orthodontics, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & Research Center of Engineering and Technlogy for Computerized Dentistry Ministry of Health, Beijing 100081, China
  • Received:2023-03-02 Online:2023-10-28 Published:2023-10-25

摘要: 近年来,人工智能在口腔正畸学领域应用的研究日渐增多,多种人工智能模型被证实可用于正畸诊断、治疗决策、疗效预测等方面。研究表明,人工智能在正畸中的应用能够提高临床诊疗效率,具有较高的准确性,但也存在数据量不足、样本来源单一、人工智能模型可解释性差等问题。本文拟通过回顾人工智能在正畸诊断、治疗决策和疗效预测三方面的研究现状,以期对人工智能在口腔正畸领域的应用有较全面的认识,为相关研究和临床应用提供参考。

关键词: 人工智能, 机器学习, 正畸, 软组织预测

Abstract: In recent years, the application of artificial intelligence in the field of orthodontics is increasing, and many artificial intelligence models are applied to orthodontic diagnosis, treatment planning, prognosis prediction, etc. The research shows that the application of artificial intelligence in orthodontics can improve the efficiency of diagnosis and treatment with high accuracy, but there are also problems such as insufficient data, single sample source, poor interpretability of artificial intelligence model, etc. This review intends to provide an overview of the effectiveness of artificial intelligence models used in orthodontic diagnosis, treatment planning, and facial profile prediction after orthodontic treatment or orthognathic surgery, so as to comprehensively understand the status of artificial intelligence in orthodontics and provide reference for relevant research and clinical application.

Key words: artificial intelligence, machine learning, orthodontic, soft tissue prediction