BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective:To explore the development status, research hotspots, and frontiers of low value care (LVC) de-implementation in foreign countries.Methods:The literature on LVC de-implementation included in the Web of Science core collection from 1995 to 2023 was electronically searched. Excel software was used to organize literature. CiteSpace software was used to visually analyze the authors, institutions, countries, journals, co-citation status, and key terms included in the literature.Results:A total of 576 articles were included. The overall number of articles published from 1995 to 2023 showed an increase, with the highest in 2022 (150 articles). The top 10 research institutions with publication volume and centrality> 0.10 were the Harvard University and the United States Department of Veterans Affairs. Compared with other journals, Archives of Internal Medicine, Anesthesiology and American Review of Respiratory Disease had the highest number of indexed literature. The journals with a co-citation frequency greater than 50 and centrality>0.10 were Archives of Internal Medicine, The American Journal of Medicine, British Medical Journal and Annals of Internal Medicine. In addition to the key terms searched for in this study, the key terms frequently cited greater than 30 times in 576 articles were "impact" "management" "outcome" "health" "quality" "health care", and "guidelines". The clusters in keyword clustering analysis that extend the timeline to the past 5 years were "value based care" and "low value care". The analysis of burst words showed that the forefront was the accurate identification of LVC in clinical practice and the intervention strategies for LVC de-implementation. Conclusions:Through the analysis of key terms and burst terms, it is found that in recent years, research topics in this field focus on the relationship between LVC and medical insurance expenditures, the influencing factors of de-implementation, tools (checklists or manuals) for identifying LVC, clinical intervention pathways, de-implementation of different types of LVC, and evaluation of the effectiveness of de-implementation. In the future, domestic research needs to strengthen international cooperation and exchange, explore and construct a suitable implementation path for LVC in China, accurately formulate LVC lists and intervention strategies, optimize nursing measures, improve the effective utilization of medical resources, and provide effective and high-quality nursing services for patients.

Objectives:Aimed to establish a rapid, high-throughput, automated method for determining the creatine kinase (CK-MM) isoform levels.Methods:Magnetic beads labeled with anti-CK-MM antibodies were combined with alkaline phosphatase-based chemiluminescence detection. Clinical and diagnostic performance validation of the assay was determined by analysis of 998 and 75 dried blood spot samples from healthy newborns and Duchenne muscular dystrophy (DMD) patients, respectively, and the CK activity was also determined. The blank and detection limits, cross-reactivity, recovery rate of the method, intra-and inter-assay coefficient, and the hook effect were evaluated.Results:Blank and detection limits were 17.4 and 39.3 ng/ml, respectively. Cross-reactivity toward CK-MB and CK-BB isoforms was 0.2% and 0.02%, respectively. Intra-and inter-assay coefficients of variation were<1%. Mean recovery was 100.32%, with no hook effect in CK-MM levels<50 000 ng/ml. Overall, the mean CK-MM concentrations in newborns and DMD patients were (27.05±0.97) and (3 720±300.5) ng/ml, respectively. A significant positive correlation between the dried blood spot detected CK-MM levels and total CK enzyme activity, evaluated in corresponding serum samples from the 75 DMD patients, was observed ( r=0.91, P<0.001), ?which is in good agreement with the clinical. Conclusions:An assay for rapid quantitative determination of CK-MM that meets clinical newborn screening requirements was established. It had a good value for application.

Objective To investigate the value of quantitative CT(QCT)parameters related to abdominal and dorsal fat content for predicting early postoperative complications of esophageal cancer.Methods A total of 184 patients who underwent radical esophageal cancer surgery were retrospectively collected and divided into complication group(n=76)and control group(n=108)according to whether early postoperation complication(within 30 days after surgery)occurred or not.QCT was used to obtain parameters related to abdominal and dorsal fat content,including visceral fat area(VFA),subcutaneous fat area(SFA),VFA/SFA and the degree of muscle fat infiltration(MFI)of posterior vertebral muscles based on L3 central-level CT images.Univariate analysis and multivariate logistic regression were used to analyze clinical and pathological data as well as QCT parameters related to abdominal and dorsal fat content to screen independent risk factors for early postoperative complications of esophageal cancer.Then receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each independent risk factor alone and their combination for predicting early postoperative complications of esophageal cancer.Results VFA/SFA and MFI degree of posterior vertebral muscles were both independent risk factors for early postoperative complications of esophageal cancer(OR=5.121,1.110,both P＜0.05).The AUC of VFA/SFA and MFI degree of posterior vertebral muscle was 0.81 and 0.77,respectively,while of their combination was 0.84.Conclusion QCT parameters related to abdominal and dorsal fat content could be used to effectively predict early complications of esophageal cancer after surgery.

ObjectiveTo investigate the prevalence of polycystic ovary syndrome （PCOS） among female college students at a university in Fuzhou City， Jiangxi Province， and to facilitate early detection and intervention of PCOS. MethodsUsing a stratified sampling method， a total of 450 female freshmen were randomly selected for PCOS screening. A self-designed questionnaire was used for data collection， covering menstrual status， high androgen signs， lifestyle， dietary habits， and awareness of PCOS. Sample t test and χ² test were used to compare the basic information and dietary habits between PCOS and non-PCOS cases. The correlation between various indicators and the prevalence of PCOS was analyzed by a logistic regression model. ResultsA total of 12 PCOS cases were identified， with a prevalence rate of 2.99%. PCOS cases exhibited statistically significant differences compared to non-PCOS cases in terms of waist-to-hip ratio， waist circumference， abdominal obesity， the proportion of overweight or obese individuals， and a preference for sweet food （all P<0.05）. Multivariate logistic regression analysis revealed a significant correlation between preference for sweet food and the occurrence of PCOS （OR=4.858， 95%CI=1.199‒19.675，P=0.027）， as well as a significant correlation with PCOS accompanied by abdominal obesity （OR=7.083， 95%CI=0.773‒64.937， P=0.048）. Among the female college students surveyed， 37.90% had never heard of PCOS， 51.62% were only familiar with the name of the disease， and 10.47% had attempted to search for PCOS-related information. ConclusionThe prevalence of PCOS among female college students should not be overlooked and unhealthy dietary habits may be a crucial factor contributing to the occurrence of PCOS during this period. Early screening for PCOS during puberty is crucial.

With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.

Objective: To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students. Methods: By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students. Results: The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05). Conclusions Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.

Objective:To investigate the effectiveness and safety of the coaxial needle technique in percutaneous liver biopsy for patients with coagulation function abnormalities.Methods:Clinical data of 210 patients who underwent percutaneous liver biopsy using the coaxial needle technique under ultrasound guidance from December 2018 to May 2021 in 3 centers were collected. A retrospective analysis was conducted to compare the puncture success rate, number of samples obtained, pathology qualification rate, intraoperative and postoperative bleeding rates between the group with coagulation function abnormalities and the group with normal coagulation function.Results:After propensity score matching, there were 105 patients in each group, with a puncture success rate of 100% in both groups. The pathology qualification rate was 100% for all samples.Intraoperative bleeding occurred in 78 cases (74.3%, 78/105) in the coagulation function abnormalities group and in 64 cases (61.0%, 64/105) in the normal coagulation function group, with a statistically significant difference between the two groups ( P=0.006). Postoperative bleeding occurred in 3 cases (2.9%, 3/105) in the coagulation function abnormalities group and in 0 case in the normal coagulation function group, with no statistically significant difference between the two groups ( P=0.081). Conclusions:The use of the coaxial needle technique for percutaneous liver biopsy in patients with coagulation function abnormalities not only allows for obtaining an adequate tissue sample but also demonstrates good safety.

Drug loading is an important index to evaluate the quality of solid preparation of traditional Chinese medicine. Drug loading is restricted by drug characteristics, dosage form, process, and drug delivery in vivo, which affects the preparation process, therapeutic effect, and drug release rate. By consulting domestic and foreign literature, this paper put forward the significance of increasing the drug loading: improving the compliance of patients, reducing the production cost, reducing the risk of the excipients. In this review, the possible approaches to increase drug loading, such as the selection of high-efficiency excipients, suitable drug preparation techniques, and modification of the physical properties of drugs are summarized. It will provide theoretical basis through this review for the development of high drug loading and high-quality formulations.

Objective This study was to develop a"Spleen Deficiency Certificate Scale for County Residents"and test its reliability.It was then developed as an objective tool for Chinese medicine evidence and symptoms for the prevention and control of chronic diseases among county residents.Methods The scale was compiled based on the team's previous foundation.The reliability of the scale was evaluated using internal consistency reliability and split-half reliability,while its validity was evaluated using structural validity,content validity,calibration validity,and discriminant validity.Results The study included 213 adults from Lanxi,of whom 155 were tested for intestinal flora.Seven scale entries were identified:Fatigue,fear of cold,bland mouth,loss of appetite,diarrhea,weak bowel movements,and tooth-marked tongue.In the reliability test,Cronbach's alpha coefficient was 0.828 and McDonald's ω coefficient was 0.825.The"stomach pain"and"bloating"entries did not meet the inclusion requirements and were recommended to be deleted.The Spearman-Brown coefficient was 0.839.The exploratory factor analysis of the two common factors explained 61.6%of the cumulative variance.The calibration validity indicated that the ratio of salivary amylase activity before and after acid stimulation was 0.826±0.253 in the group with spleen deficiency.Significant differences(P<0.05)in the genera Dialister,Shigella,Leuconostoc,Photobacterium,Trabulsiella,and Parvimonas between the spleen deficiency group and the non-spleen deficiency group.Conclusion The Spleen Deficiency Scale for County Residents demonstrates good reliability and validity.