ObjectiveTo quantitatively evaluate the effect of phrenic nerve-abdominal muscle electrical stimulation on pulmonary ventilation distribution in stroke patients using electrical impedance tomography (EIT). MethodsThirty-five stroke patients were enrolled at the First Affiliated Hospital of Chongqing Medical University from September, 2024 to June, 2025, and all received standardized phrenic nerve-abdominal muscle electrical stimulation. Percentage of ventilation in gravity-dependent regions of interesting (ROI%), center of ventilation (COV), global inhomogeneity index (GI) and change in end-expiratory lung impedance (ΔEELI) were measured with EIT monitoring before treatment (T0), immediately after treatment (T1), and at five, ten, 15, 20, 25, 30, 40 and 50 minutes after treatment (T2 to T9). ResultsThere were significant differences in ROI% (F = 7.003, P < 0.001) and COV (F = 5.722, P < 0.001) at different time points, both peaking at T1, followed by a downward trend until T5. No significant differences were observed in GI (F = 1.849, P = 0.097) and ΔEELI (F = 0.208, P = 0.871) across time points; however, GI at T7 was lower than that at T0 (P < 0.05). ConclusionPhrenic nerve-abdominal muscle electrical stimulation can improve the ventilation ratio in gravity-dependent regions and shift the center of ventilation dorsally. The improvement in ventilation distribution generally peaks at the end of treatment and lasts for approximately 20 minutes.

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

OBJECTIVE To investigate the impact of dapagliflozin on contrast-induced acute kidney injury(CIAKI)and prognosis in patients with diabetes mellitus type 2(T2DM)and acute coronary syndrome(ACS)who underwent percutaneous coronary intervention(PCI).METHODS Retrospective selection of data on T2DM patients with ACS who underwent PCI treatment in the Cardiology Department of Tianjin Chest Hospital from January 1st 2021 to December 31st 2022.The patients were divided into dapagliflozin group(96 cases)and control group(148 cases)based on whether they received dapagliflozin or not.Renal function indicators were measured for all enrolled patients before PCI and at 48 h and 1 week after PCI,including blood urea nitrogen(BUN),serum creatinine(Scr),estimated glomerular filtration rate(eGFR),cystatin-C(Cys-C),kidney injury molecule-1(KIM-1)and β2-microglobulin(β2-MG).All patients were followed up for at least 1 year.The incidence of CIAKI and major adverse cardiac event(MACE)during follow-up were recorded for both groups.Logistic regression was used to analyze the impact of dapagliflozin on the occurrence of CIAKI,while the Log-rank test was applied to compare the incidence of MACE between the two groups.Cox regression was employed to analyze the impact of dapagliflozin on prognosis.RESULTS At 48 h and 1 week after PCI,serum levels of Cys-C,KIM-1 and β2-MG were significantly lower in the dapagliflozin group compared to the control group(P＜0.05).The incidence of CIAKI was lower in the dapagliflozin group compared to the control group(6.25%vs.14.86%,P=0.042).Logistic regression analysis revealed that dapagliflozin was an independent protective factor against CIAKI(OR=0.280,95%CI 0.101-0.780,P=0.015).During the follow-up period,the incidence of MACE was lower in the dapagliflozin group compared to the control group(7.29%vs.17.57%,P=0.049).Cox regression analysis indicated that dapagliflozin reduced the occurrence of MACE after PCI(HR=0.374,95%CI 0.161-0.866,P=0.022).CONCLUSIONS With adequate hydration,the use of dapagliflozin does not increase the risk of CIAKI following PCI in T2DM patients with ACS.

It was a retrospective study. The propensity score matching was applied to divide the type 2 diabetes mellitus (T2DM) patients who have underwent percutaneous coronary intervention (PCI) into two groups: short-term (<4 weeks) sodium-glucose cotransporter 2 inhibitor (SGLT2i) group (213 patients) and control group (213 patients). The occurrence of contrast-induced acute kidney injury (CIAKI) after PCI was compared between the two groups. The results showed that the incidence of CIAKI in the SGLT2i group was not significantly different from the control group [10.8% (23/213) vs. 7.5% (16/213), χ2=1.383, P=0.313]. The incidence of CIAKI in patients with SGLT2i application time <1 week was higher than that in control patients, but the difference was not statistically significant [13.00% (16/123) vs. 7.5% (16/213), χ2=2.734, P=0.122]. Multivariate logistic regression analysis showed that short-term (<4 weeks) use of SGLT2i would not increase the risk of CIAKI after PCI in T2DM patients ( OR=0.507, 95% CI 0.238-1.077, P=0.077). Short-term application of SGLT2i before PCI may not increase the risk of CIAKI, but it is advisable to avoid initiating the application of SGLT2i before PCI as much as possible.

Objective:To investigate the efficacy of nasolacrimal duct stent placement combined with endonasal endoscopic dacryocystorhinostomy (EES-DCR) in the treatment of chronic dacryocystitis and analyze the recurrence rate of this condition.Methods:A retrospective analysis was performed on 312 patients with chronic dacryocystitis admitted to Department of Otolaryngology Head and Neck Surgery, Xi'an People's Hospital (Xi'an Fourth Hospital) from April 2021 to April 2023. All patients were divided into the non-implantation group (EES-DCR only) and the implantation group (nasolacrimal duct stent placement combined with EES-DCR) based on the surgical procedure used. Baseline data were excluded using propensity score matching method, and 156 patients were included in each group. Clinical efficacy, incidence rates of complications, and epiphora status (epiphora degree, tear film breakup time, Schirmer test strip wetting length) before surgery and at 1 month after surgery, as well as recurrence rate within 1 year of treatment were compared between the two groups.Results:The total efficacy in the implantation group was significantly higher than that in the non-implantation group [98.08% (153/156) vs. 93.59% (146/156), χ2 = 3.93, P = 0.047). The overall incidence rate in the implantation group was significantly lower than that in the non-implantation group [5.13% (8/156) vs. 12.18% (19/156), χ2 = 4.90, P = 0.027). At 1 month after surgery, both the degree of epiphora and the wetting length of Schirmer test strip significantly decreased in both groups, while the tear film breakup time significantly increased (both P < 0.05) compared with before surgery. The degree of epiphora and the wetting length of Schirmer test strip in the implantation group were (1.25 ± 0.26) points and (12.37 ± 2.24) mm, respectively, which were significantly lower than those in the non-implantation group [(1.44 ± 0.29) points, (13.32 ± 2.60) mm, t = 4.81, P < 0.001; t = 3.45, P < 0.001]. The tear film breakup time in the implantation group was (12.43 ± 2.31) seconds, which was significantly longer than that in the non-implantation group [(11.38 ± 2.15) seconds, t = 4.15, P < 0.001]. The total recurrence rate in the implantation group was 5.13% (8/156), which was significantly lower than that in the non-implantation group [11.54% (18/156), χ2 = 4.19, P = 0.041]. Conclusions:Nasolacrimal duct stent placement combined with EES-DCR effectively treats chronic dacryocystitis, reduces the degree of epiphora, and lowers the recurrence rate of the disease. This combined therapy has few complications and is safe and effective.

Objective Based on metrology analysis of the literatures on the treatment of polycystic ovary syndrome(PCOS)by traditional Chinese medicine,the research trends,hot spots and current situation in this field in the past 10 years were discussed,so as to provide reference for future clinical application and academic research.Methods Clinical research literatures on the treatment of PCOS by traditional Chinese medicine published on CNKI,Wanfang Data Knowledge Service Platform and VIP database from January 2014 to October 2024 were searched.CiteSpace software was used to visualize the knowledge graph of authors,institutional cooperation,key words and other relevant data.Results A total of 1154 Chinese literatures were obtained through the search.The visual analysis found that the traditional Chinese medicine research of PCOS was mainly represented by Hou Lihui and Xu Fang,and the institutions were concentrated in the universities of traditional Chinese medicine and their affiliated hospitals in Northeast and East China.The key words analysis showed that infertility,obesity,insulin resistance,intestinal flora,metabolomics and other research hots pots in this field.Conclusion Chinese medicine has significant efficacy in treatment of PCOS,and its holistic regulation theory is highly compatible with the systemic metabolic disorder of PCOS.However,existing studies are characterized by regional concentration,and cross-regional cooperation and disciplinary integration need to be strengthened.Future studies should focus on multidisciplinary comprehensive treatment combining Chinese and Western medicine to promote the modernization and precision of PCOS treatment.

Collaborative diagnosis and treatment between Traditional Chinese Medicine(TCM)and Western Medicine,as an important measure for the modernization and innovation of TCM,faces great challenges such as inadequate medical resource supply and supply-demand imbalance in the context of high-quality development strategy.Supply-demand analysis and the input-output framework of modern economic theory were applied to systematically analyze the operational status of collaborative diagnosis and treatment of TCM and Western Medicine in China,and explore the intrinsic economic mechanism of its development.Furthermore,in line with the concept of the"Three Medical Synergistic Collaborations",it proposes policy recommendations from the dimension of medical care,medical insurance,and medicine.

Objective To explore the efficiency of operating room(OR)and its influencing factors from a phenomeno-logical perspective,proposing corresponding improvement strategies.Methods A phenomenological method was adopted,invol-ving in-depth interviews with 13 surgical team members from a tertiary Traditional Chinese Medicine(TCM)orthopedic hospital in Henan Province,to collect and analyze their multifaceted understanding of OR efficiency.Results The study demonstrated eight interpretative ways of efficiency among team members.The overall framework was largely organization-oriented,with addi-tional human-centered considerations regarding the factors influencing efficiency.Conclusion A unified understanding is crucial for improving both efficiency and quality.This study suggests strategies to optimize OR processes through lean management and human-centered team development to enhance operating room efficiency.Additionally,it highlights the need for future research to incorporate more patient views.