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人工智能技术在口腔正畸诊疗中的应用研究进展 被引量:5

Progress on application of artificial intelligence technology in orthodontic diagnosis and treatment
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摘要 近年来,人工智能技术发展迅速,已逐渐应用于临床影像资料处理、辅助诊断及预后评估等领域,研究表明,其能简化医生临床任务,快速提供分析处理结果,具有较高的准确性。在口腔正畸诊疗方面,人工智能可辅助用于二维及三维头影测量快速定点,此外,也广泛应用于三维牙模信息的高效处理与分析,并在决策正畸治疗是否需要拔牙、辅助判断生长发育阶段及正畸预后和美学评估中具有优势。尽管目前人工智能技术的应用受限于训练数据资料的数量与质量,但将其与正畸临床诊疗相结合,可提供更快更有效的分析诊断,为更准确的诊疗决策提供支持。本文就目前人工智能技术在口腔正畸诊疗中的应用进行综述,以期正畸医生在临床中理性看待和合理使用人工智能技术,让人工智能更好服务于正畸临床诊疗,以促进口腔正畸智慧化诊疗流程进一步发展。 In recent years,artificial intelligence technology has developed rapidly and has been gradually applied to the fields of clinical image data processing,auxiliary diagnosis and prognosis evaluation.Research has shown that it can simplify doctors􀆳clinical tasks,quickly provide analysis and processing results,and has high accuracy.In terms of orth⁃odontic diagnosis and treatment,artificial intelligence can assist in the rapid fixation of two⁃dimensional and three⁃di⁃mensional cephalometric measurements.In addition,it is also widely used in the efficient processing and analysis of three⁃dimensional dental molds data,and shows considerable advantages in determining deciding whether orthodontic treatment needs tooth extraction,thus assisting in judging the stage of growth and development,orthodontic prognosis and aesthetic evaluation.Although the application of artificial intelligence technology is limited by the quantity and quality of training data,combining it with orthodontic clinical diagnosis and treatment can provide faster and more effec⁃tive analysis and diagnosis and support more accurate diagnosis and treatment decisions.This paper reviews the current application of artificial intelligence technology in orthodontic diagnosis and treatment in the hope that orthodontists can rationally treat and use artificial intelligence technology in the clinic,and make artificial intelligence better serve orth⁃odontic clinical diagnosis and treatment,so as to promote the further development of intelligent orthodontic diagnosis and treatment processes.
作者 马建斌 薛超然 白丁 MA Jian-bin;XUE Chaoran;BAI Ding(State Key Laboratory of Oral Diseases&National Clinical Research Center for Oral Dis-eases&Department of Orthodontics,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,China)
出处 《口腔疾病防治》 2022年第4期278-282,共5页 Journal of Prevention and Treatment for Stomatological Diseases
基金 科技部科技基础资源调查专项(2018FY10100003)。
关键词 人工智能 机器学习 卷积神经网络 人工神经网络 支持向量机 正畸诊疗 自动定点 分牙 artificial intelligence machine learning convolutional neural network artificial neural network support vector machine orthodontic diagnosis and treatment automatic landmarking tooth segmentation
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