深度学习在口腔正畸诊疗中的应用进展  

Progress in application of deep learning in orthodontic diagnosis and treatment

作　　者：陈海文 马艳宁 张若妍 金作林[1] Chen Haiwen;Ma Yanning;Zhang Ruoyan;Jin Zuolin(Department of Orthodontics,School of Stomatology,The Fourth Military Medical University&State Key Laboratory of Military Stomatology&National Clinical Research Center for Oral Diseases&Shaanxi Clinical Research Center for Oral Diseases,Xi′an 710032,China)

机构地区：[1]第四军医大学口腔医学院口腔正畸科军事口腔医学国家重点实验室口腔疾病国家临床医学研究中心陕西省口腔疾病临床医学研究中心,西安710032

出　　处：《中华口腔医学杂志》2022年第11期1182-1187,共6页Chinese Journal of Stomatology

基　　金：国家口腔疾病临床医学研究中心2020年度专项课题A类项目(LCA202009)。

摘　　要：近年口腔正畸领域人工智能技术的应用研究逐渐增加,深度学习作为其中的热门方向,也迅速被应用于正畸诊疗的检测、评估、诊断、预测以及疗效评价等多个环节。目前,深度学习研究在表现出高效、准确优势的同时,也存在可解释性不强、数据量不足等限制。本文从深度学习的提出与发展、正畸诊疗中的应用以及推广的限制与对策三方面进行综述,并进行展望。In recent years,the application of artificial intelligence technology in the field of orthodontics has gradually increased,and deep learning,as a hot direction,has also been rapidly applied in the detection,evaluation,diagnosis,prediction and effect evaluation.At present,deep learning research has the advantages of high efficiency and accuracy,but it also has limitations such as weak interpretability and insufficient data volume.This paper reviewed the proposal and development of deep learning,the application in orthodontic diagnosis and treatment,as well as the limitations and countermeasures of the popularization,and prospect of the future research.

关 键 词：人工智能 正畸学 诊断 计算机辅助 神经网络(计算机) 锥束计算机体层摄影术 医学信息学应用 深度学习 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R783.5[自动化与计算机技术—控制科学与工程]