深度学习在口腔医学中的应用现状  

Application Status of Deep Learning in Dentistry

作　　者：韩苗苗 朱海婷 李佳岭[1] 韩磊[1] HAN Miaomiao;ZHU Haiting;LI Jialing;HAN Lei(Department of Orthodontics,Nanjing Stomatological Hospital Affiliated to Medical School of Nanjing University,Nanjing 210008,China;School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京大学医学院附属口腔医院正畸科,南京210008 [2]南京邮电大学物联网学院,南京210003

出　　处：《医学综述》2024年第10期1221-1226,共6页Medical Recapitulate

基　　金：南京市卫生科技发展专项资金项目(ZKX23055);南京大学医学院附属口腔医院“3456”育才计划(0222E305);“爱笑少年——儿童青少年生长发育和口腔疾病防治项目”科研项目(A2023-021)。

摘　　要：深度学习作为人工智能的子领域,已在口腔医学中得到广泛且深入的研究和实践。目前深度学习在口腔医学中的应用涉及口腔医学影像的自助诊断、辅助诊疗以及协助制订个性化治疗方案等方面,为口腔科疾病的自动化诊断开辟了新途径。虽然深度学习在口腔疾病辅助诊断及个性化治疗方案制订方面表现出明显优势,但其在技术和伦理层面仍面临许多挑战。未来,通过深度学习技术有望实现口腔健康的智能监测和疾病的早期干预,从而进一步推动数字化医疗的发展。As a subfield of artificial intelligence,deep learning has been widely and deeply studied and practiced in stomatology.At present,the application of deep learning in stomatology involves the self-help diagnosis,auxiliary diagnosis and treatment of stomatological imaging,and assisting in the formulation of individualized treatment plans,which opens up a new way for the automatic diagnosis of dental diseases.Although deep learning has obvious advantages in the auxiliary diagnosis of oral diseases and the formulation of individualized treatment plans,it still faces many challenges at the technical and ethical levels.In the future,intelligent monitoring of oral health and early intervention of diseases are expected to be achieved through deep learning technology,so as to further promote the development of digital medicine.

关 键 词：口腔医学 深度学习 人工智能 卷积神经网络 

分 类 号：R78[医药卫生—口腔医学]