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

In the field of dental aesthetics,digital aesthetic design plays a crucial role in helping dentists to predict treatment outcomes vis-ually,as well as in enhancing the consistency of knowledge and understanding of aesthetic goals between dentists and patients.It serves as the foundation for achieving ideal aesthetic effects.However,there is no clear standard for this digital process currently in China and abroad.Many dentists lack of systematic understanding of how to carry out digital aesthetic design for treatment.To establish standardized processes for dental aesthetic design and to improve the homogeneity of treatment outcomes,Chinese Society of Digital Dental Industry(CSD-DI)convened domestic experts in related field to compile this consensus.This article elaborates on the key aspects of digital aesthetic data collection,integration steps,and the digital aesthetic design process.It also formulates a decision tree for dental aesthetics at macro level and outlines corresponding workflows for various clinical scenarios,serving as a reference for clinicians.

Oral diseases concern almost every individual and are a serious health risk to the popula-tion.The restorative treatment of tooth and jaw defects is an important means to achieve oral function and support the appearance of the contour.Based on the principle of"learning from the nature",Deng Xu-liang's group of Peking University School and Hospital of Stomatology has proposed a new concept of"microstructural biomimetic design and tissue adaptation of tooth/jaw materials"to address the worldwide problems of difficulty in treating dentine hypersensitivity,poor prognosis of restoration of tooth defects,and vertical bone augmentation of alveolar bone after tooth loss.The group has broken through the bottle-neck of multi-stage biomimetic technology from the design of microscopic features to the enhancement of macroscopic effects,and invented key technologies such as crystalline/amorphous multi-level assembly,ion-transportation blocking,and multi-physical properties of the micro-environment reconstruction,etc.The group also pioneered the cationic-hydrogel desensitizer,digital stump and core integrated restora-tions,and developed new crown and bridge restorative materials,gradient functionalisation guided tissue regeneration membrane,and electrically responsive alveolar bone augmentation restorative membranes,etc.These products have established new clinical strategies for tooth/jaw defect repair and achieved inno-vative results.In conclusion,the research results of our group have strongly supported the theoretical im-provement of stomatology,developed the technical system of oral hard tissue restoration,innovated the clinical treatment strategy,and led the progress of the stomatology industry.

Myoclonus dystonia syndrome (MDS) is an inherited movement disorder, and most MDS-related mutations have so far been found in the ε-sarcoglycan (SGCE) coding gene. By generating SGCE-knockout (KO) and human 237 C > T mutation knock-in (KI) mice, we showed here that both KO and KI mice exerted typical movement defects similar to those of MDS patients. SGCE promoted filopodia development in vitro and inhibited excitatory synapse formation both in vivo and in vitro. Loss of function of SGCE leading to excessive excitatory synapses that may ultimately contribute to MDS pathology. Indeed, using a zebrafish MDS model, we found that among 1700 screened chemical compounds, Vigabatrin was the most potent in readily reversing MDS symptoms of mouse disease models. Our study strengthens the notion that mutations of SGCE lead to MDS and most likely, SGCE functions to brake synaptogenesis in the CNS.

Objective:Through the construction of public service platform for clinical research of oral diseases, to facilitate more efficient and orderly development of clinical research and related management.Methods:The construction of clinical platform for oral diseases includes data sharing platform, scale system of various disciplines, specialized terminology system, electronic medical record access, clinical research project management system, etc.Results:The established platform can assist physicians in standardizing clinical research in their daily diagnosis and treatment work through a unified terminology scale system; simplify the data integration process through seamless connection of medical data and research data; and realize the whole process management of research through the application of clinical research project management system.Conclusions:The establishment and operation of the platform has significantly increased the inclusion of clinical research samples, promoted the efficient and orderly development of clinical research related work, and significantly improved the management of clinical research.

Objective To investigate the role of clinical pharmacists in the treatment of a Parkinson′s disease patient with mental disorders.Methods Clinical pharmacists provided appropriate pharmaceutical care and optimized the treatment program based on patient′s symptom, medication history, drug interactions,and adverse drug reactions etc.Results Clinical pharmacists improved rational drug use by participating in the development of patient′s treatment program, giving patient with proper medication instruction and discharge education.Conclusion With their professional knowledge, clinical pharmacists play an important role in rational drug use and helping physicians to optimize the medication regimen.

SUMMARY Thehumanembryonicstemcells(hESCs)serveasaself-renewable,genetically-healthy, pluripotent and single source of all body cells,tissues and organs.Therefore,it is considered as the good standard for all human stem cells by US,Europe and international authorities.In this study,the standard and healthy human mesenchymal progenitors,ligament tissues,cardiomyocytes,keratinocytes,primary neurons,fibroblasts,and salivary serous cells were differentiated from hESCs.The human cellular health-safety of NaF,retinoic acid,5-fluorouracil,dexamethasone,penicillin G,adriamycin,lead ace-tate PbAc,bisphenol A-biglycidyl methacrylate (Bis-GMA)were evaluated selectively on the standar-dized platforms of hESCs,hESCs-derived cardiomyocytes,keratinocytes,primary neurons,and fibro-blasts.The evaluations were compared with those on the currently most adopted cellular platforms.Parti-cularly,the sensitivity difference of PM2.5 toxicity on standardized and healthy hESCs derived fibroblasts, currently adopted immortalized human bronchial epithelial cells Beas-2B and human umbilical vein endo-thelial cells (HUVECs)were evaluated.The results showed that the standardized hESCs cellular plat-forms provided more sensitivity and accuracy for human cellular health-safety evaluation.

Objective To evaluate the feasibility of Mycobacteria growth indicator tube ( MGIT ) liquid culture combined with rifampin resistance test real-time PCR ( Xpert MTB/RIF test) in the diagnosis of tuberculosis.Methods 652 cases of suspected pulmonary tuberculosis from October 2014 to March 2015 in Quzhou People′s Hospital were enrolled. The morning sputum samples were collected for acid-fast staining, L?wenstein-Jensen ( L-J) culture, BACTEC MGIT culture and Xpert MTB/RIF test.Samples with positive results of MGIT liquid culture were subjected to strain identification and drug sensitivity test with fluid method.Methodological comparison between four methods was made and the performance of MGIT liquid culture combined with Xpert MTB/RIF test in the rapid diagnosis and drug resistance detection in Mycobacterium tuberculosis was evaluated by chi-square test. Results Among the samples from 399 confirmed tuberculosis patients, the diagnostic sensitivity of the 4 methods ( acid-fast staining, L-J culture, MGIT culture and Xpert MTB/RIF test) were 17.0%(68/399), 23.8%(95/399), 37.8% (151/399) and 37.3%(149/399) respectively.The sensitivity and specificity of MGIT culture combined with Xpert MTB/RIF test was 39.8%(159/399) and 94.8%(240/253).The sensitivity of MGIT culture combined with Xpert MTB/RIF test was significantly higher than acid-fast staining (χ2 =50.9, P<0.01 ) and L-J culture (χ2 =23.7,P<0.01).The average detection time of MGIT culture was 7.5 days ( smear positive and Xpert MTB/RIF positive), 13.4 days (smear negative and Xpert MTB/RIF positive) and 16.9 days ( smear negative and Xpert MTB/RIF negative) .The sensitivity and specificity of Xpert MTB/RIF test in rifampin resistance detection were 9/9 and 97.3% ( 129/132 ) respectively.The average detection time of fluid method for drug sensitivity test was 8.3 days.Conclusions MGIT liquid culture combined with Xpert MTB/RIF test can detect Mycobacterium tuberculosis and the drug sensitivity rapidly.The method is highly sensitive and specific.It is important for clinical diagnosis and treatment of tuberculosis.

Objective: To explore the reinforcement of polyglycidyl methacrylate ( PGMA ) pre-impregnated quartz fiber mesh in denture base materials by investigation of interface compatibility and fracture resistance .Methods: 1-layer, 2-layer, 3-layer PGMA pre-impregnated quartz fiber meshes , electrolyzed cobalt-chromium alloy mesh and cobalt-chromium alloy mesh conditioned by metal primer were integrated in polymethyl methacrylate ( PMMA) resin by sandwich embedding method .Block sam-ples of 5 groups were prepared (40 mm ×15 mm ×2 mm).Fracture resistance was determined in a 3-point bending test at 2 mm/min.Scanning electron microscope (SEM), micrographs were taken from the fractured surfaces to analyze the bonding interface compatibility .Results: The group of 3-layer PGMA pre-impregnated quartz fiber mesh presented the highest elastic modulus of 6 406 MPa and flexural strength of 227 MPa among the five groups , while the 1-layer and 2-layer expressed the similar elastic modulus and flexural strength to the pure PMMA group .The metal groups demonstrated better mechanical properties, while the metal surface conditioner played much better .The metal surface conditioner pre-impregnated cobalt-chromium alloy and PGMA pre-impregnated quartz fiber mesh showed compatible in-terface with PMMA.Conclusion:The mechanical properties were improved by the increasing of the fiber by adding the more meshed .Although the benign interface did help the compatibility , the quantity of the fibers played an important role in the strength .

Objective:In order to provide policy-makers with basis and reference for improving the operational efficiency of county general public hospitals, this paper studies the changes in overall efficiency, technical efficiency and scale efficiency of 40 county general public hospitals in Fujian province from 2009 to 2014 , as well as how the to-tal factor productivity changes over the time. Methods: After collecting the relevant data of hospital operations from 2009 to 2014, this paper uses CCR, BBC, Malmquist model and other data envelopment analysis (DEA) methods to analyze the data. Results:The vast majority of those 40 county general public hospitals are in decreasing state. The total factor productivity of 40 hospitals from 2009 to 2014 is 1. 019. There are 21 hospitals (52. 5%) that slightly im-proved their productivity, of which 3 hospitals increased their productivity mainly due to technological progress, 3 hospitals due to efficiency increase, and the rest 15 hospitals due to the effect of both technological progress and effi-ciency increase. Conclusions:The operational efficiency of county general public hospitals in Fujian province is gen-erally insufficient, and there are significant differences between operating efficiency of different regions. The efficien-cy of hospitals in mountainous areas had increased, but the efficiency of hospitals in coastal areas had decreased. Therefore, in order to increase investment in county general public hospitals, the government should take differential policy and pay attention to the reasonable control of hospital size, as well as to strengthen the connotation building and attach importance to improving medical service technologies.