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.

As an inevitable trend of social development, aging has generated a wide and far-reaching impact on every aspect of society, especially posing severe challenges for the heath system of all countries and regions around the world. Facing the objective reality of humans co-existing with diseases in a long term and people’s ever-growing demand for healthcare, the successful development of vaccine products can provide people with effective preventive measures to combat infectious diseases. This article summarizes the development and use of 4 vaccines that are suitable for the elder population, i.e., influenza vaccine, pneumococcal vaccine, varicella-zoster virus vaccine and respiratory syncytial virus vaccine, aiming to provide some reference for the development and popularization of these vaccines and to improve the well-being of the senior citizens.

OBJECTIVE To provide references and recommendations for improving the regulatory framework for cell and gene therapy products and treatments in China. METHODS This study systematically examined the “dual-track regulatory” frameworks for regenerative medicine products and treatments in Japan and the Republic of Korea， summarized their beneficial experiences， and explored optimization strategies for China’s regulatory practices. RESULTS & CONCLUSIONS Both Japan and the Republic of Korea have established clear management processes for two distinct pathways “registered clinical trials for regenerative medicine products” and “clinical research on regenerative medicine treatments” guided by shared principles of “risk stratification” and “full lifecycle oversight”. Based on these findings， it is recommended that China： strengthen top-tier legislative framework to explicitly delineate the regulatory scope governing cell and gene therapy products and treatments； clarify the jurisdictional responsibilities of relevant regulatory bodies to enhance oversight efficacy； appropriately calibrate the regulatory scope， and adopt a balanced regulatory approach that harmonizes standardization with innovation incentives， thereby accelerating the clinical translation of regenerative medicine products.

Objective: To evaluates the association between maternal overweight/obesity during pregnancy and offspring risk of metabolic dysfunction associated steatotic liver disease (MASLD), providing theoretical evidence for early life MASLD prevention. Methods: An online search was conducted across ten databases (CNKI, Wanfang, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, PROSPERO, PQDT Global, ScienceDirect) for research literature on the association between maternal overweight/obesity during pregnancy and the development of MASLD in offspring, with the search period spanning from January 2014 to December 2024. Two researchers independently screened literature, extracted data, and assessed study quality. Statistical analysis was performed using R 4.3.3. Results: Ten studies involving 10 229 participants were included, comprising 4 cohort studies and 6 case control studies. Cohort studies showed that maternal overweight and obesity significantly increased offspring MASLD risk ( RR=1.59, 95%CI=1.06-2.39, P <0.05), with moderate heterogeneity ( I 2=56.9%, P =0.07). Case control studies indicated a positive association between maternal overweight/obesity during pregnancy and offspring risk of MASLD( OR=2.00, 95%CI=1.68-2.39, P < 0.05), with low heterogeneity ( I 2=48.8%, P =0.08). Conclusions Maternal overweight/obesity during pregnancy positively correlates with offspring MASLD risk. Gestational weight management may reduce the risk.

AIM: To compare the effectiveness of foldable capsular body(FCB)with traditional scleral buckling(SB)in the treatment of experimental retinal detachment animal models.METHODS: After successfully establishing rhegmatogenous retinal detachment(RRD)animal models, 24 New Zealand white rabbits were randomly divided into three groups(RRD models group, SB group, and FCB group), with 8 rabbits in each group. The FCB and SB groups underwent SB and FCB surgeries for the RRD animal models, while the RRD models group only consists of RRD models without any surgical intervention during the follow-up period. The follow-up duration was 3 mo. Wide-field neonatal fundus imaging system and ophthalmic B-ultrasound were used to assess the fundus conditions before and after surgery. The Icare® TONOVET Plus tonometer was utilized to evaluate intraocular pressure changes before and after surgery. The Eaton and Draize scoring systems were selected to monitor postoperative inflammatory reactions.RESULTS: The retinal reattachment rates in the FCB and SB groups were 87.5% and 75.0%, respectively, with no statistically significant difference between the groups(P>0.05). The intraocular pressure in both the FCB and SB groups increased postoperatively compared to preoperative levels(P<0.01), and there were no significant differences in intraocular pressure at any time points during the follow-up period between the groups(P>0.05). The intraocular pressure in the RRD models group remained at a low level throughout the follow-up period. The average surgical time for the FCB group was 16.87±2.29 min, which was shorter than 46.25±4.74 min in the SB group(t=-15.166, P<0.001). According to the Eaton and Draize scoring systems, the FCB group had lower grades of conjunctival hyperemia and edema in the early postoperative period compared to the SB group, indicating milder inflammatory reactions(P<0.05).CONCLUSION: Both FCB and SB are effective in treating experimental RRD. Compared to SB, FCB is simpler to operate, and also has a shorter surgical time and milder postoperative inflammatory reactions.

OBJECTIVE To evaluate the cost-effectiveness of dapagliflozin and empagliflozin in the treatment of type 2 diabetic kidney disease from the perspective of healthcare system in China. METHODS Based on the data from the two multicenter clinical trials， DECLARE-TIMI 58 and EMPA-REG OUTCOME， a Markov model was constructed according to the urinary albumin-to-creatinine ratio （UACR） of the patients with type 2 diabetic kidney disease with a cycle of 1 year， simulating until 99% of patients died. The model outputs were total costs and quality-adjusted life year （QALY）. The cost-effectiveness of the two treatment regimens was assessed by comparing their incremental cost-effectiveness ratio （ICER） and the willingness-to-pay threshold （WTP，set at three times China’s 2023 per capita gross domestic product， i.e.， 268 074 yuan/QALY）. Additionally， oneway sensitivity analysis and probabilistic sensitivity analysis were performed to test the robustness of the base analysis results. RESULTS Compared with dapagliflozin， the ICER for empagliflozin regimen was 44 334.82 yuan/QALY， which was below the WTP ， indicating its cost-effectiveness. The results of the oneway sensitivity analysis indicated that the incidence of non-fatal myocardial infarction in both groups and the utility values associated with the microalbuminuria state had the most significant impact on the outcomes， but did not change the base-case conclusion. The probabilistic sensitivity analysis indicated that the results of the base-case analysis were robust. CONCLUSIONS With a WTP of three times China’s per capita gross domestic product in 2023， empagliflozin is more cost-effective than dapagliflozin in treating type 2 diabetic kidney disease.

As a common malignant tumor of the respiratory system， the incidence and mortality of lung cancer are still rising year by year. Its pathogenesis is complex， the prognosis is poor， and it seriously affects human physical and mental health. Although existing Western medical treatments can inhibit tumor growth to a certain extent and relieve patients' painful symptoms， problems such as postoperative recurrence and metastasis， numerous adverse reactions， and the tendency to develop drug resistance make the overall therapeutic effect unsatisfactory. Therefore， it is urgent to seek more efficient and safer treatments. Adenosine monophosphate-activated protein kinase （AMPK） signaling pathway can regulate the growth， differentiation， apoptosis， and autophagy of lung cancer cells， and is extensively involved in the occurrence and development of lung cancer， thus being regarded as an important target for anti-lung cancer therapy. Traditional Chinese medicine （TCM） exerts anti-lung cancer effects through multiple pathways， mechanisms， and targets， with advantages such as preventing postoperative recurrence and metastasis， alleviating the adverse reactions of radiotherapy and chemotherapy， and improving quality of life. TCM has therefore become a key approach in current anti-lung cancer treatment. Studies have found that active components of Chinese medicine， including flavonoids， saponins， polyphenols， and terpenes， as well as Chinese medicine compound prescriptions such as Guiqi Yiyuan extract， Qingzao Jiufei decoction， and Yiqi Fuzheng formula， have significant regulatory effects on AMPK and its interacting signaling pathways. These effects include inducing autophagy and apoptosis of lung cancer cells， modulating macrophage polarization， inhibiting epithelial-mesenchymal transition， reversing drug resistance， and blocking the cell cycle， thereby exerting anti-lung cancer activity. This article reviews and summarizes recent studies on the anti-lung cancer effects of TCM， and discusses the mechanisms by which TCM regulates the AMPK signaling pathway in the treatment of lung cancer， with the aim of providing ideas and references for the development of new clinical anti-lung cancer drugs.

As a common malignant tumor of the respiratory system， the incidence and mortality of lung cancer are still rising year by year. Its pathogenesis is complex， the prognosis is poor， and it seriously affects human physical and mental health. Although existing Western medical treatments can inhibit tumor growth to a certain extent and relieve patients' painful symptoms， problems such as postoperative recurrence and metastasis， numerous adverse reactions， and the tendency to develop drug resistance make the overall therapeutic effect unsatisfactory. Therefore， it is urgent to seek more efficient and safer treatments. Adenosine monophosphate-activated protein kinase （AMPK） signaling pathway can regulate the growth， differentiation， apoptosis， and autophagy of lung cancer cells， and is extensively involved in the occurrence and development of lung cancer， thus being regarded as an important target for anti-lung cancer therapy. Traditional Chinese medicine （TCM） exerts anti-lung cancer effects through multiple pathways， mechanisms， and targets， with advantages such as preventing postoperative recurrence and metastasis， alleviating the adverse reactions of radiotherapy and chemotherapy， and improving quality of life. TCM has therefore become a key approach in current anti-lung cancer treatment. Studies have found that active components of Chinese medicine， including flavonoids， saponins， polyphenols， and terpenes， as well as Chinese medicine compound prescriptions such as Guiqi Yiyuan extract， Qingzao Jiufei decoction， and Yiqi Fuzheng formula， have significant regulatory effects on AMPK and its interacting signaling pathways. These effects include inducing autophagy and apoptosis of lung cancer cells， modulating macrophage polarization， inhibiting epithelial-mesenchymal transition， reversing drug resistance， and blocking the cell cycle， thereby exerting anti-lung cancer activity. This article reviews and summarizes recent studies on the anti-lung cancer effects of TCM， and discusses the mechanisms by which TCM regulates the AMPK signaling pathway in the treatment of lung cancer， with the aim of providing ideas and references for the development of new clinical anti-lung cancer drugs.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.