Applications and perspectives of artificial intelligence in periodontology.
10.7518/hxkq.2025.2025103
- VernacularTitle:人工智能在牙周病学的应用现状与未来展望
- Author:
Chunxu LÜ
1
;
Shaohua GE
1
Author Information
1. Department of Periodontology, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Mate-rials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan 250012, China.
- Publication Type:English Abstract
- Keywords:
artificial intelligence;
deep learning;
machine learning;
neural network;
periodontitis
- MeSH:
Humans;
Artificial Intelligence;
Periodontics/methods*;
Periodontal Diseases/therapy*;
Deep Learning;
Precision Medicine;
Quality of Life
- From:
West China Journal of Stomatology
2025;43(5):620-627
- CountryChina
- Language:Chinese
-
Abstract:
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.
