首都医科大学学报 ›› 2025, Vol. 46 ›› Issue (6): 968-976.doi: 10.3969/j.issn.1006-7795.2025.06.003

• 专家述评 • 上一篇    下一篇

人工智能在口腔医学中的应用

谢理哲1,2,3 严斌1,2,3,4*△王林2,3,4*△   

  1. 1.南京医科大学口腔数字化医疗技术工程中心,南京 210029;2.南京医科大学口腔疾病研究与防治国家级重点实验室培育建设点,南京 210029;3.江苏省口腔转化医学工程研究中心,南京 210029;4.南京医科大学附属口腔医院正畸科,南京 210029
  • 收稿日期:2025-09-22 修回日期:2025-10-10 出版日期:2025-12-21 发布日期:2025-12-19
  • 通讯作者: 严斌,王林 E-mail:byan@njmu.edu.cn;lw603@njmu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2022YFC2402103,  SQ2023YFC2400025)。 

The application of artificial intelligence in stomatology

Xie Lizhe1,2,3 , Yan Bin1,2,3,4*△ , Wang Lin2,3,4*△   

  1. 1.Oral Digital Medical Technology Engineering Center, Nanjing Medical University, Nanjing  210029,China;2. State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Nanjing 210029,China;3. Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing  210029,China;4.Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029,China
  • Received:2025-09-22 Revised:2025-10-10 Online:2025-12-21 Published:2025-12-19
  • Supported by:
    This study was supported by National Key Research and Development Program of China (2022YFC2402103, SQ2023YFC2400025).

摘要: 随着人工智能(artificial intelligence,AI)技术的飞速发展,其已深度渗透至口腔医学诊疗的全流程,广泛应用于预防、诊断、治疗、风险评估及预后判断等关键环节。本文系统梳理 AI 技术在口腔医学诊疗中的研究进展与应用现状,聚焦于核心技术在口腔临床典型场景中的落地成效,深入剖析当前技术实践过程中面临的诸多瓶颈和挑战,并对未来发展提出前瞻性展望,旨在为口腔医学智能化诊疗体系的构建与完善提供理论依据和实践参考。

关键词: 人工智能, 口腔医学, 智能诊疗, 临床应用, 瓶颈, 挑战, 研究进展

Abstract: With the rapid development of artificial intelligence (AI) technology, it has been deeply integrated into the entire workflow of stomatological diagnosis and treatment, and it is widely applied in key aspects such as prevention, diagnosis, treatment, risk assessment, and prognosis evaluation. Herein we systematically reviews the research progress and application status of AI technology in stomatological diagnosis and treatment, focuses on the implementation effects of core technologies in typical clinical scenarios of stomatology, conducts an in-depth analysis of the major bottlenecks and challenges encountered in current practice, and puts forward a forward-looking prospect for its future development. It aims to provide a theoretical basis and practical reference for the construction and optimization of the intelligent diagnosis and treatment system in stomatology.

Key words: artificial intelligence, stomatology, intelligent diagnosis and treatment, clinical application, bottlenecks, challenges, research progress

中图分类号: