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首页|期刊导航|北京大学学报(医学版)|人工智能驱动口腔医学:临床、科研、教学与管理的创新探索

人工智能驱动口腔医学:临床、科研、教学与管理的创新探索

邓旭亮 徐明明 杜宸临

北京大学学报(医学版)2025,Vol.57Issue(5):821-826,6.
北京大学学报(医学版)2025,Vol.57Issue(5):821-826,6.DOI:10.19723/j.issn.1671-167X.2025.05.002

人工智能驱动口腔医学:临床、科研、教学与管理的创新探索

Artificial intelligence in stomatology:Innovations in clinical practice,research,edu-cation,and healthcare management

邓旭亮 1徐明明 1杜宸临1

作者信息

  • 1. 北京大学口腔医学院·口腔医院特诊科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081
  • 折叠

摘要

Abstract

In recent years,China has continued to face a high prevalence of oral diseases,along with uneven access to high-quality dental care.Against this backdrop,artificial intelligence(AI),as a data-driven,algorithm-supported,and model-centered technology system,has rapidly expanded its role in transforming the landscape of stomatology.This review summarizes recent advances in the application of AI in stomatology across clinical care,biomedical and materials research,education,and hospital man-agement.In clinical settings,AI has improved diagnostic accuracy,streamlined treatment planning,and enhanced surgical precision and efficiency.In research,machine learning has accelerated the identifica-tion of disease biomarkers,deepened insights into the oral microbiome,and supported the development of novel biomaterials.In education,AI has enabled the construction of knowledge graphs,facilitated per-sonalized learning,and powered simulation-based training,driving innovation in teaching methodologies.Meanwhile,in hospital operations,intelligent agents based on large language models(LLMs)have been widely deployed for intelligent triage,structured pre-consultations,automated clinical documentation,and quality control,contributing to more standardized and efficient healthcare delivery.Building on these foundations,a multi-agent collaborative framework centered around an AI assistant for stomatology is gradually emerging,integrating task-specific agents for imaging,treatment planning,surgical navigation,follow-up prediction,patient communication,and administrative coordination.Through shared interfaces and unified knowledge systems,these agents support seamless human-AI collaboration across the full con-tinuum of care.Despite these achievements,the broader deployment of AI still faces challenges including data privacy,model robustness,cross-institution generalization,and interpretability.Addressing these is-sues will require the development of federated learning frameworks,multi-center validation,causal rea-soning approaches,and strong ethical governance.With these foundations in place,AI is poised to move from a supportive tool to a trusted partner in advancing accessible,efficient,and high-quality stomatology services in China.

关键词

人工智能/口腔医学/深度学习/智能体

Key words

Artifical intelligence/Stomatology/Deep leaning/Agent

分类

医药卫生

引用本文复制引用

邓旭亮,徐明明,杜宸临..人工智能驱动口腔医学:临床、科研、教学与管理的创新探索[J].北京大学学报(医学版),2025,57(5):821-826,6.

北京大学学报(医学版)

OA北大核心

1671-167X

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