摘要
随着大数据时代的到来,人工智能在医疗领域的应用受到广泛关注。人工智能具有客观、精确、微创、省时、高效等诸多优势,将其与口腔临床诊疗相结合,能够提高医生工作效率、节约医疗资源,拥有巨大的应用前景。目前,人工智能已逐步融入口腔修复、口腔颌面外科、正畸、牙体牙髓及牙周病等多个学科:人工智能系统可实现自动备牙、自动排牙及种植体植入;深度学习可用于辅助诊断上颌窦炎症、预测拔牙治疗并发症及辅助截骨手术精确化等,并为口腔头颈肿瘤的诊断、治疗及预后分析提供重要依据;人工智能为头影测量分析带来的突破及对于患者面部吸引力的评估,推进了智能化、个性化正畸治疗的发展;人工智能技术对于影像学等信息的深度学习与分析也促进了牙体、牙髓治疗及牙周病诊疗的完善性与精确性。人工智能技术使口腔临床诊疗由数字化到自动化、智能化的跨越成为可能,其在口腔领域的应用潜力不可小觑。本文将基于人工智能技术基本概念,重点介绍人工智能在口腔各专业领域的应用进展,并简要分析其应用的优势、问题及展望。
With the arrival of the era of big data,increasing attention has been drawn to the application of artificial intelligence(AI)in the medical field.AI has many advantages,such as objectivity,accuracy,minimal invasiveness,time savings and high efficiency.Therefore,the combination of AI with dental diagnosis and treatment can help dentists improve work efficiency and save medical resources,offering potential significant benefits for dental application.At present,AI has been gradually integrated into prosthodontics,oral and maxillofacial surgery,orthodontics,endodontics and periodontics.The AI system can realize automatic tooth preparation,automatic tooth arrangement and implantology.Deep learning can be used to assist in diagnosing maxillary sinus inflammation,predicting the complications of tooth extraction and improving the accuracy of osteotomy.The AI system can also provide significant clues for the diagnosis,treatment and prognosis of oral and maxillofacial tumors.The breakthrough brought by AI in cephalometric and the assessment of facial attractiveness of patients has promoted the development of intelligent and personalized orthodontic treatment.Deep learning and analysis of medical images also promote the accuracy of root canal therapy as well as the diagnosis and treatment of periodontal diseases.AI technology has realized the leap from digitalization to automation and intelligence in oral diagnosis and treatment,and its application potential in the oral field should not be underestimated.Based on the concepts of AI,this paper will focus on the application of artificial intelligence in various oral clinical fields and briefly introduce its advantages,problems and future.
作者
李畅
黄翠
杨宏业
LI Chang;HUANG Cui;YANG Hongye(The State Key Laboratory Breeding Base of Basic Science of Stomatology&Key Laboratory of Oral Biomedicine Ministry of Education,School of Stomatology,Wuhan University,Wuhan 430079,China;Department of Prosthodontics,Hospital of Stomatology,Wuhan University,Wuhan 430079,China)
出处
《口腔疾病防治》
2022年第11期821-826,共6页
Journal of Prevention and Treatment for Stomatological Diseases
基金
湖北省技术创新重大专项(2019ACA139)。
关键词
人工智能
口腔临床医学
机器学习
深度学习
神经网络
自动化
智能化
精准医学
大数据
artificial intelligence
clinical science of stomatology
machine learning
deep learning
neural network
automation
intelligentize
precision medicine
big data