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 management. In clinical settings, AI has improved diagnostic accuracy, streamlined treatment planning, and enhanced surgical precision and efficiency. In research, machine learning has accelerated the identification 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 personalized 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 continuum 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 issues will require the development of federated learning frameworks, multi-center validation, causal reasoning 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.
Artificial Intelligence ; Humans ; Oral Medicine/trends* ; China ; Delivery of Health Care ; Machine Learning

Platelet-rich plasma and platelet-rich fibrin (PRF) are widely used in the field of stomatology. Advance-ments in preparation techniques and basic research have enabled the use of PRF derivatives in oral clinical applications. The evolution, preparation techniques, biological properties, and medical research progress of PRF derivatives are reviewed in this paper.
Blood Platelets ; Leukocytes ; Oral Medicine ; trends ; Platelet-Rich Fibrin ; Platelet-Rich Plasma

Humans ; Oral Medicine ; trends

Oral Medicine ; education ; trends ; Periodicals as Topic

China ; Congresses as Topic ; Humans ; Oral Medicine ; trends

Humans ; Oral Medicine ; trends ; Osteogenesis, Distraction ; Prostheses and Implants ; Tissue Engineering

OBJECTIVEThe literature published in West China Journal of Stomatology (WCJS) cited by science periodical from 1983 to 2001 were analyzed to evaluate the academic level and quality of WCJS.

METHODSThe cited literature was searched by Chinese biological medical disc (CBMDisc) from 1983 to 2001. The distributions of the times, the periodical and the authors were described.

RESULTSThe quantities of cited literature were 1 338 and increased with years. The periodical and the authors were 266 and 1 003 respectively from 1998 to 2001. The cited frequencies of stomatological periodicals were more than that of other academic periodical. The authors scattered in 32 provinces and 448 units of China. The medical university and affiliated hospital were 32.14%, the local hospital and stomatological dispensary were 54.69%, the military hospital was 10.71%, and other unit was 2.46%.

CONCLUSIONThe literature published in WCJS are superior in quality. The cited frequency of WCJS is high relatively. WCJS is one of the most important informational source of stomatology.

Bibliometrics ; China ; Hospitals ; Humans ; Oral Medicine ; Publishing ; trends ; Schools, Medical ; Universities

China ; Combined Modality Therapy ; standards ; trends ; Facial Neoplasms ; therapy ; Humans ; Maxillary Neoplasms ; therapy ; Medicine, Chinese Traditional ; methods ; Mouth Neoplasms ; therapy ; Oral Surgical Procedures ; methods