Artificial intelligence (AI) is rapidly advancing in periodontology, bringing new opportunities to clinical diagnosis, risk assessment, personalized treatment planning, and remote patient care. Leveraging core technologies such as deep learning, machine learning, and natural language processing, AI significantly enhances the sensitivity of early periodontal disease detection and provides precise quantification of alveolar bone loss and soft tissue damage. AI facilitates multimodal data integration by synthesizing medical history, lifestyle factors, and imaging data, thereby offering enhanced accurate risk prediction and personalized therapeutic recommendations. By integrating remote monitoring with tailored health counseling, AI helps patients maintain adherence to self-care protocols, significantly improving their oral health-related quality of life and treatment satisfaction. Moreover, AI demonstrates considerable potential in periodontal research and education, particularly in large-scale data mining, virtual clinical case simulations, and natural language processing-assisted literature management. Nevertheless, challenges remain concerning model generalizability, data quality, ethical concerns, and interpretability. The advancement of multi-center big-data platforms is expected to foster a profound integration of AI and periodontology, propelling precision medicine and digital healthcare, enabling holistic management from prevention to long-term care, and enhancing diagnostic efficiency and patient health outcomes.
人工智能（AI）技术在牙周病学领域快速发展，为临床诊断、风险评估、个性化治疗方案以及患者远程照护等各个环节带来全新机遇。基于深度学习、机器学习、自然语言处理等核心技术，AI能有效提升牙周疾病早期诊断敏感性，精确量化牙槽骨丧失程度与软组织破坏状况。AI支持多模态数据融合，可综合病史、生活方式与影像学资料，为患者提供更为精准的风险预测与个性化治疗建议。通过远程监测与健康咨询相结合的方式，AI辅助患者维持自我护理依从性，显著改善患者的口腔健康相关生活质量和治疗满意度。此外，AI在牙周科研与教育领域中也展现巨大潜力，包括数据挖掘、虚拟病例训练及自然语言处理辅助文献管理。然而，当前模型泛化性、数据质量、伦理与可解释性等问题仍待探索与规范。未来随着多中心大数据平台建立，AI与牙周病学深度融合有望推动精准医学与智慧医疗的发展，实现从预防到长期照护的全流程管理，提升疾病的诊治效率与患者健康收益。.
Keywords: artificial intelligence; deep learning; machine learning; neural network; periodontitis.