This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

The diagnosis of Meige's syndrome predominantly relies on the clinical assessment by physicians.Given the complexity and similarity of its symptoms to other neurological disorders,the diagnosis is crucial for both doctors and patients.Herein a detection dataset for Meige's syndrome is compiled from video recordings of 31 patients,and an automated diagnostic system for Meige's syndrome(MS-Net)applicable to untrimmed videos is developed.The system utilizes RetinaNet and UNet3+to construct temporal detection and segmentation branches for multi-scale feature extraction and temporal segmentation,obtains probability vectors for detection windows and the probability of disease onset per frame via the decoding of temporal detection and segmentation branches,and finally generates a refined probability for each window by processing the probability predictions from both branches using a multi-layer perceptron.The model performance is optimized using additional loss functions and data augmentation techniques,operating on features interpretable by clinical physicians.MS-Net can assist in the diagnosis of Meige's syndrome,improving the accuracy,convenience,and efficiency of the early diagnosis.The comparison of MS-Net with other state-of-the-art networks indicates that MS-Net achieves comparable performance in terms of average precision while utilizing interpretable features required in clinical practice.

ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

Objective To compare the prognostic differences between simple and complex segmentectomies. Methods We conducted a retrospective cohort analysis of patients with solid pulmonary nodules (≤2 cm) who underwent segmentectomy. Recurrence-free survival (RFS) and local recurrence rates were evaluated. Results We included57 patients undergoing complex segmentectomy and 53 patients undergoing simple segmentectomy. Among patients who did not receive adjuvant therapy, those in the complex group had a significantly lower five-year RFS than those in the simple group (69.86% vs. 85.97%, P=0.04). Furthermore, the local recurrence rate was significantly higher in the complex group (18.75% vs. 4.65%, P=0.003) than in the simple group. Conclusion For solid pulmonary nodules (≤2 cm), complex segmentectomy is associated with inferior local control and worse RFS than simple segmentectomy.

The diagnosis of Meige's syndrome predominantly relies on the clinical assessment by physicians.Given the complexity and similarity of its symptoms to other neurological disorders,the diagnosis is crucial for both doctors and patients.Herein a detection dataset for Meige's syndrome is compiled from video recordings of 31 patients,and an automated diagnostic system for Meige's syndrome(MS-Net)applicable to untrimmed videos is developed.The system utilizes RetinaNet and UNet3+to construct temporal detection and segmentation branches for multi-scale feature extraction and temporal segmentation,obtains probability vectors for detection windows and the probability of disease onset per frame via the decoding of temporal detection and segmentation branches,and finally generates a refined probability for each window by processing the probability predictions from both branches using a multi-layer perceptron.The model performance is optimized using additional loss functions and data augmentation techniques,operating on features interpretable by clinical physicians.MS-Net can assist in the diagnosis of Meige's syndrome,improving the accuracy,convenience,and efficiency of the early diagnosis.The comparison of MS-Net with other state-of-the-art networks indicates that MS-Net achieves comparable performance in terms of average precision while utilizing interpretable features required in clinical practice.

Total hip arthroplasty(THA)is an effective treatment for elderly femoral neck fractures,mid-to late-stage femoral head necrosis,and end-stage hip osteoarthritis.However,serious complications such as aseptic loosening of the prosthesis,peripheral fractures,and dislocation of the prosthesis still exist following THA,which makes the selection of the appropriate hip prosthesis type and placement position before THA an important challenge for surgeons.Currently,the commonly used preoperative planning methods for THA mainly rely on static images from two-dimensional(2D)X-ray or three-dimensional(3D)computed tomography(CT),which fail to adequately consider the hip joint in weight-bearing as well as motion,lumbar-hip joint changes,and prosthetic impingement during motion.Recently,the dual fluoroscopic imaging system,as a new in-vivo,dynamic radiological imaging technology,provides comprehensive and accurate dynamic 3D data for THA preoperative planning.However,the technical process and expert consensus on preoperative 3D planning of THA using a dual fluoroscopic imaging system have not yet been established,which affects the promotion and application of this technology.In light of the above,national orthopaedic experts and related professional representatives discussed and proposed seven consensus issues,and the'expert recommendation rate'and'strong recommendation rate'were obtained through a questionnaire survey on the recommendations of the participating experts.This consensus aims to provide guidance and reference for the standardised application of preoperative 3D planning of THA using the dual fluoroscopic imaging system.

Total hip arthroplasty(THA)is an effective treatment for elderly femoral neck fractures,mid-to late-stage femoral head necrosis,and end-stage hip osteoarthritis.However,serious complications such as aseptic loosening of the prosthesis,peripheral fractures,and dislocation of the prosthesis still exist following THA,which makes the selection of the appropriate hip prosthesis type and placement position before THA an important challenge for surgeons.Currently,the commonly used preoperative planning methods for THA mainly rely on static images from two-dimensional(2D)X-ray or three-dimensional(3D)computed tomography(CT),which fail to adequately consider the hip joint in weight-bearing as well as motion,lumbar-hip joint changes,and prosthetic impingement during motion.Recently,the dual fluoroscopic imaging system,as a new in-vivo,dynamic radiological imaging technology,provides comprehensive and accurate dynamic 3D data for THA preoperative planning.However,the technical process and expert consensus on preoperative 3D planning of THA using a dual fluoroscopic imaging system have not yet been established,which affects the promotion and application of this technology.In light of the above,national orthopaedic experts and related professional representatives discussed and proposed seven consensus issues,and the'expert recommendation rate'and'strong recommendation rate'were obtained through a questionnaire survey on the recommendations of the participating experts.This consensus aims to provide guidance and reference for the standardised application of preoperative 3D planning of THA using the dual fluoroscopic imaging system.

Objective To explore the relationship between baseline urinary protein levels and the onset of chronic obstructive pulmonary disease (COPD). Methods A questionnaire survey, blood and urine sample collection, physical examination, and pulmonary function test were conducted among permanent residents over 40 years old in Pudong New Area, Shanghai. The subjects were divided into four groups based on the baseline urine albumin-to-creatinine ratio (ACR) quartiles (0~1.65 mg/g, 1.65~4.89 mg/g, 4.89~10.78 mg/g, and ≥10.78 mg/g). Cox regression analysis was used to explore the relationship between ACR levels and the incidence of COPD in middle-aged and elderly people. Results Among the 3 105 subjects, the median follow-up time was 3.212 years (P25~P75：3.102~3.473). 116 new cases of COPD were observed, with an incidence density of 10.423 per 1000 person-years. The incidence densities for COPD at four ACR levels were 7.922 per 1 000 person-years, 8.300 per 1 000 person-years , 11.419 per 1 000 person-years, and 13.843 per 1 000 person-years, respectively. Cox regression analysis revealed that as the ACR level increased, there was a rising trend in the incidence rate of COPD (χ²=4.396, P=0.036). After adjusting for gender, age, education level, occupational exposure to dust, history of childhood pneumonia, smoking, family history of COPD, central obesity, and hypertension, the risk of developing COPD was 2.499 times higher (95% CI: 1.460~4.276) for ACR levels ≥10.78 mg/g compared to the reference group with a baseline ACR level of 0~1.65 mg/g. Conclusion Elevated ACR levels in middle-aged and elderly population may increase the risk of COPD, and early monitoring of urine protein levels is beneficial for COPD prevention.

ObjectiveTo investigate the mechanism of action and main active components of Xiaoyaosan in the treatment of diabetic mellitus-induced erectile dysfunction （DMED）. MethodStreptozotocin （STZ） was used to induce a diabetic rat model. The therapeutic efficacy of Xiaoyaosan was evaluated by measuring intracavernous pressure/mean arterial pressure （ICP/MAP） and using Masson's trichrome staining. The main active components， key targets， and potential signaling pathways of Xiaoyaosan for the treatment of DMED were predicted by network pharmacology and molecular docking. The predicted results were then validated by in vitro and in vivo experiments. ResultThe ICP/MAP measurements and Masson's staining results showed that compared with the results in the control group， the erectile function of rats in the model group was significantly reduced （P<0.01）， and the ratio of smooth muscle/collagen fibers was significantly reduced （P<0.01）. After treatment with Xiaoyaosan， compared with the results in the model group， the ICP/MAP value of the diabetic rats was significantly elevated （P<0.01）， and the ratio of smooth muscle/collagen fibers was significantly higher （P<0.01）. The results of network pharmacology showed that Xiaoyaosan acted on key targets such as albumin （ALB）， protein kinase B1 （Akt1）， interleukin-6 （IL-6）， and tumor necrosis factor （TNF） through its main active components， including quercetin， kaempferol， β-sitosterol， and stigmasterol. These components were involved in the regulation of the advanced glycation end-products/receptor for advanced glycation end-products （AGE/RAGE） signaling pathway and the phosphoinositide 3-kinases（PI3K）/Akt signaling pathway in diabetic complications. The results of molecular docking showed that the key components of Xiaoyaosan had good binding capabilities with core targets， with β-sitosterol showing the strongest binding affinity with ALB. In vivo experiments demonstrated that Xiaoyaosan could significantly increase the protein and mRNA expression of ALB and Akt1 in serum， and inhibit the expression of IL-6 and TNF-α. It also significantly upregulated the expression of protein and mRNA of phosphorylation（p）-PI3K and p-Akt， and inhibited the RAGE expression. The results of cellular thermal shift assay （CETSA） showed that β-sitosterol could significantly inhibit the degradation of ALB protein. ConclusionXiaoyaosan may restore erectile function in diabetic rats by modulating targets such as ALB， Akt1， IL-6， and TNF， and through the RAGE/PI3K/Akt signaling pathway， and its main active component is likely β-sitosterol.

ObjectiveTo evaluate the intervention effect of meteorological risk forecasting service on acute onset and medical expenses of chronic obstructive pulmonary disease（COPD） patients， and to provide scientific basis for the establishment of health management model for chronic obstructive pulmonary disease（COPD） patients. MethodsStudy subjects were recruited from chronic obstructive pulmonary patients aged ≥40 in Pudong New Area. Propensity score matching method was used to determine the intervention group and the control group. The control group received regular health education and follow-up management， and the intervention group was provided with meteorological and environmental risk forecasting services through WeChat， mobile phone short message service（SMS）and telephone. Finally， a total of2 589 subjects were included in the analysis， including 1 300 in the intervention group and 1 289 in the control group. General demographic data， past medical history and family history of COPD， COPD related knowledge and practice survey， COPD related symptom assessment， acute onset， health service utilization and medical expenses before and after intervention were collected through questionnaire survey. The differences of acute attack， health service utilization and related medical expenses between the two groups before and after intervention were compared to evaluate the intervention effect. ResultsIn terms of acute attacks， after intervention， the incidence of acute attacks in the intervention group was lower than that before intervention（χ²=52.901， P<0.001）， and the incidence of acute attacks in the groups with different intervention methods was lower than that before intervention （P<0.001）. WeChat had the best effect， decreasing the incidence by 14.4%， followed by mobile phone SMS SMS decreasing by 12.3%. In terms of utilization of health services， the outpatient rate due to acute attack was lower in the intervention group after intervention than that before intervention （χ²=7.129， P=0.008）， and the outpatient rate due to acute attack was lower in the subjects who received the forecast service through mobile phone SMS than that before intervention （χ²=4.675， P<0.001）. In terms of medical expenses， there was no significant difference between control group and intervention group with different intervention methods before intervention （P>0.05）. After intervention， the difference between the control group and the intervention group with different intervention methods was statistically significant （H=11.864， P<0.05）. The results of multiple comparisons showed that compared with the control group， the average annual medical expenses of patients receiving mobile phone SMS and telephone forecasting services after intervention were lower than those of the control group， and the difference was statistically significant （P<0.05）. ConclusionMeteorological risk forecasting service can reduce the acute onset of COPD， reduce the rate of consultation and medical expenses due to acute onset， and provide scientific basis for the basic COPD health management model.