With the growing complexity and higher risk of modern warfare,artificial intelligence(AI)technologies have been increasingly used in the field of military medicine.This study investigates the innovative applications of AI in military medicine,focusing on practices in such countries as the United States,Israel and the United Kingdom.The research reveals that AI technologies have been extensively applied in battlefield medical training,casualty status monitoring,medical decision support and unmanned rescue operations.Through virtual reality simulation,intelligent decision support and vital sign monitoring technologies,AI has significantly improved the efficiency and precision of battlefield medical care.Despite challenges related to technological implementation,environmental adaptability and ethical controversies,future battlefield medical care will increasingly rely on unmanned systems and intelligent equipment to deliver efficient medical treatment through human-machine collaboration.

Porcine arthritis,one of the common chronic diseases in large-scale pig farms,can signifi-cantly reduce the production performance of meat pigs.In this study,a strain of Haemophilus pa-rasuis(HPS)was isolated from the joint fluid of a lame pig.The HPS was analyzed in terms of se-rotypes,virulence genes,and resistance genes.Additionally,it was treated with sensitive antibiotics to provide a theoretical basis for the comprehensive prevention and treatment of arthritis in meat pigs in future production settings.A strain of HPS type 14 was isolated from the joint fluid of dis-eased pigs.The HPS isolate demonstrated sensitivity to β-lactams and tetracyclines,while florfeni-col and polymyxin effectively inhibited its growth at low concentrations.However,the bacteria ex-hibited resistance to sulfonamides and ciprofloxacin.The treatment of affected pigs with clinical ar-thritis using doxycycline and enrofloxacin injections proved effective.Compared to the infected group,in which the sick pigs experienced difficulty flexing their carpal and tarsal joints and exhibi-ted significant lameness,the pigs in the treatment group showed marked improvement.Their joints were only slightly swollen,and the clinical symptoms of arthropathy were alleviated.

Porcine arthritis,one of the common chronic diseases in large-scale pig farms,can signifi-cantly reduce the production performance of meat pigs.In this study,a strain of Haemophilus pa-rasuis(HPS)was isolated from the joint fluid of a lame pig.The HPS was analyzed in terms of se-rotypes,virulence genes,and resistance genes.Additionally,it was treated with sensitive antibiotics to provide a theoretical basis for the comprehensive prevention and treatment of arthritis in meat pigs in future production settings.A strain of HPS type 14 was isolated from the joint fluid of dis-eased pigs.The HPS isolate demonstrated sensitivity to β-lactams and tetracyclines,while florfeni-col and polymyxin effectively inhibited its growth at low concentrations.However,the bacteria ex-hibited resistance to sulfonamides and ciprofloxacin.The treatment of affected pigs with clinical ar-thritis using doxycycline and enrofloxacin injections proved effective.Compared to the infected group,in which the sick pigs experienced difficulty flexing their carpal and tarsal joints and exhibi-ted significant lameness,the pigs in the treatment group showed marked improvement.Their joints were only slightly swollen,and the clinical symptoms of arthropathy were alleviated.

Objective:To explore the impact of pembrolizumab combined with chemotherapy on angiogenesis and circulating endothelial cells in patients with advanced non-small cell lung cancer (NSCLC) .Methods:The retrospective analysis of clinical data from 121 patients diagnosed with advanced NSCLC who were admitted to the Second Affiliated Hospital of Xingtai Medical College from August 2021 to January 2023 was conducted. These patients were divided into a control group ( n=57) and an observation group ( n=64) based on the designated treatment protocol. Specifically, individuals in the control group received standard chemotherapy (cisplatin+paclitaxel), while those in the observation group underwent penpilimab therapy in conjunction with conventional chemotherapy. The comparative assessment encompassed short-term clinical efficacy, quality of life, immune function parameters, angiogenic factors [including endostatin, insulin-like growth factor 1 (IGF-1), and vascular endothelial growth factor (VEGF) ], circulating endothelial cells, and adverse reactions within the two groups. Results:After 6 courses of treatment, the objective response rate [67.19% (43/64) vs. 49.12% (28/57) ] and disease control rate [87.50% (56/64) vs. 70.18% (40/57) ] in observation group were higher than those in control group, with statistically significant differences ( χ2=4.06, P=0.044; χ2=5.52, P=0.019). The quality of life score of observation group [ (56.77±6.81) points] was significantly higher than that of control group [ (47.73±8.23) points], with a statistically significant difference ( t=6.61, P<0.001) ; The T cell subgroup CD3 + levels [ (63.59±9.00) % vs. (53.06±8.80%), t=6.49, P<0.001], CD4 + levels [ (46.54±8.20) % vs. (30.74±7.32) %, t=11.13, P<0.001] and CD4 +/CD8 + ratio (1.90±0.36 vs. 1.21±0.28, t=11.66, P<0.001) in observation group were significantly higher than those in control group, with statistically significant differences; Endostatin in observation group [ (48.99±3.43) μmol/L] was significantly higher than that in control group [ (31.35±3.87) μmol/L], with a statistically significant difference ( t=26.58, P<0.001), IGF-1 [ (102.31±20.35) μg/L vs. (134.98±19.02) μg/L] and VEGF [ (31.70±4.32) pg/ml vs. (58.71±5.99) pg/ml] were significantly lower in observation group than those in control group, with statistically significant differences ( t=18.73, P<0.001; t=28.14, P<0.001). The number of circulating endothelial cells in observation group [ (58.77±10.03) /ml] was significantly lower than that in control group [ (87.01±8.01) /ml], with a statistically significant difference ( t=17.20, P<0.001). During treatment, there were no statistically significant differences in the incidence of gastrointestinal reaction ( χ2=0.01, P=0.908), leukopenia ( χ2=0.64, P=0.424), thrombocytopenia ( χ2=0.28, P=0.597), anemia ( χ2=1.66, P=0.197), nephrotoxicity ( χ2=0.64, P=0.424), skin rash ( χ2=1.33, P=0.249) between the two groups. Conclusion:The combination therapy of pembrolizumab and chemotherapy for the treatment of advanced NSCLC has demonstrated noteworthy effectiveness. This regimen has the potential to enhance patients' immune functionality, ameliorate their overall quality of life, suppress angiogenesis, and exhibits a commendable profile of safety and reliability.

Objective To design a search and rescue UAV that is portable and user-friendly in order to meet the needs of rescue personnel on the battlefield.Methods Three-dimensional design software CATIA was used to complete the structural design of the UAV body.In order to make full use of the internal space of the UAV body,folding wings were adopted to reduce the volume of the UAV.By using ABAQUS,the finite elements of the key parts of the UAV were analyzed before the modal analysis of the whole vehicle was conducted to verify the reliability of the structure.The robot simulation software Webots was used for motion simulation of the UAV.Results Simulation analysis and test verification suggested that the structural design of the UAV was well-grounded.It could be quickly and properly deployed by means of hand launch or barrels,which made it easier for rescuers to use the UAV.Conclusion The design and simulation research of UAVs with portable folding wings for search and rescue is of great significance for the research and development of physical prototypes.This study is expected to stimulate new ideas for the development of rescue equipment in the PLA,and contribute to miniaturization of UAVs.

Objective:To investigate the risk factors and their warning effectiveness for postoperative intestinal barrier dysfunction (IBD) in patients with severe traumatic brain injury (sTBI).Methods:A retrospective cohort study was conducted to analyze the clinical data of 101 patients with sTBI admitted to Wuxi Branch of Zhongda Hospital Affiliated to Southeast University from May 2020 to February 2023, including 63 males and 38 females, aged 21-81 years [(53.4±14.2)years]. All the patients underwent emergency surgery. The patients were divided into IBD group ( n=67) and non-IBD group ( n=34) according to whether or not they had IBD after surgery. The gender, age, basic diseases (hypertension and diabetes), types of intracranial hematoma (subdural, epidural, and intracerebral hematoma), preoperative Glasgow Coma Scale (GCS), cerebral hernia, intraoperative initial intracranial pressure (iICP), operation time, removal of bone flap, treatment time in ICU, initiation time of enteral nutrition, and use of broad-spectrum antibiotics were recorded in the two groups. Univariate and multivariate binary Logistic regression analyses were conducted to assess the correlations between above-mentioned indicators and incidence of postoperative IBD in sTBI patients and determine the independent risk factors for sTBI. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the warning effectiveness of each risk factor for IBD. Results:The results of the univariate analysis showed that preoperative GCS, cerebral hernia, intraoperative iICP, removal of bone flap, treatment time in ICU, initiation time of enteral nutrition, and use of broad-spectrum antibiotics were significantly correlated with the incidence of IBD in sTBI patients ( P<0.05 or 0.01), while there were no correlations of IBD with gender, age, basic diseases, types of intracranial hematoma and operation time ( P>0.05). The results of the multivariate binary Logistic regression analysis showed that preoperative GCS≤5 points ( OR=2.49, 95% CI 1.17, 5.32, P<0.05), intraoperative iICP>23 mmHg (1 mmHg=0.133 kPa)( OR=1.20, 95% CI 1.03, 1.39, P<0.05), and initiation time of enteral nutrition>24 hours ( OR=10.03, 95% CI 1.26, 80.21, P<0.05) were highly correlated with postoperative IBD in sTBI patients. The results of the ROC curve analysis showed that intraoperative iICP had the highest warning value (AUC=0.91, 95% CI 0.85, 0.96), followed by preoperative GCS (AUC=0.88, 95% CI 0.82, 0.95), and initiation time of enteral nutrition had the lowest warning value (AUC=0.78, 95% CI 0.69, 0.87). Conclusions:Preoperative GCS≤5 points, intraoperative iICP>23 mmHg, and initiation time of enteral nutrition>24 hours are independent risk factors for postoperative IBD in sTBI patients. The warning value of intraoperative iICP ranks the highest for postoperative IBD in sTBI patients, followed by preoperative GCS, with initiation time of enteral nutrition having the lowest warning value.

Objective::Patients with untreated severe aortic regurgitation (AR) have a high risk of mortality. Transfemoral transcatheter aortic valve replacement (TF-TAVR) is a treatment option for AR; however, the safety and efficacy of this technique have not been sufficiently established. This study aimed to evaluate the clinical and anatomical variables correlating with device success of TF-TAVR using a self-expanding valve system for pure AR.Methods::Patients with pure native severe AR who underwent TF-TAVR using a self-expanding valve system were registered at 5 Chinese centers. The primary endpoint was device success at 1 month after TAVR. The secondary endpoint was the composite of major adverse cardiovascular events (MACE) at 6 months, including all-cause death, ischemic stroke, emergency conversion to cardiac surgery, and permanent pacemaker implantation. Echocardiography was used to analyze the left ventricular function before the TAVR procedure and during follow-up. Multivariable logistic regression and Cox regression analyses were performed to find relevant independent risk factors.Results::Between September 2019 and February 2022, 79 patients with AR were enrolled in the study. At 1 month, device success was achieved in 60 (75.9%) patients. By 6 months, 29 (36.7%) patients had MACE. Echocardiography revealed improved left ventricular function after TAVR. Multivariate regression analysis demonstrated that the Society of Thoracic Surgeons risk score (odds ratio 0.760, 95% confidence interval (CI): 0.584-0.989; P = 0.041) and annulus perimeter (odds ratio 0.888, 95% CI: 0.796-0.992; P = 0.035) were 2 predictors of device success. Moreover, annulus perimeter (<80.2 mm), but not Society of Thoracic Surgeons risk score, was associated with a significant reduction in MACE at 6 months (hazard ratio 2.223, 95% CI: 1.060-4.659; P = 0.028). Conclusions::TF-TAVR using a self-expanding valve system appears to be a safe and feasible treatment for patients with pure native severe AR, particularly those with a less enlarged annulus.

Objective::Patients with untreated severe aortic regurgitation (AR) have a high risk of mortality. Transfemoral transcatheter aortic valve replacement (TF-TAVR) is a treatment option for AR; however, the safety and efficacy of this technique have not been sufficiently established. This study aimed to evaluate the clinical and anatomical variables correlating with device success of TF-TAVR using a self-expanding valve system for pure AR.Methods::Patients with pure native severe AR who underwent TF-TAVR using a self-expanding valve system were registered at 5 Chinese centers. The primary endpoint was device success at 1 month after TAVR. The secondary endpoint was the composite of major adverse cardiovascular events (MACE) at 6 months, including all-cause death, ischemic stroke, emergency conversion to cardiac surgery, and permanent pacemaker implantation. Echocardiography was used to analyze the left ventricular function before the TAVR procedure and during follow-up. Multivariable logistic regression and Cox regression analyses were performed to find relevant independent risk factors.Results::Between September 2019 and February 2022, 79 patients with AR were enrolled in the study. At 1 month, device success was achieved in 60 (75.9%) patients. By 6 months, 29 (36.7%) patients had MACE. Echocardiography revealed improved left ventricular function after TAVR. Multivariate regression analysis demonstrated that the Society of Thoracic Surgeons risk score (odds ratio 0.760, 95% confidence interval (CI): 0.584-0.989; P = 0.041) and annulus perimeter (odds ratio 0.888, 95% CI: 0.796-0.992; P = 0.035) were 2 predictors of device success. Moreover, annulus perimeter (<80.2 mm), but not Society of Thoracic Surgeons risk score, was associated with a significant reduction in MACE at 6 months (hazard ratio 2.223, 95% CI: 1.060-4.659; P = 0.028). Conclusions::TF-TAVR using a self-expanding valve system appears to be a safe and feasible treatment for patients with pure native severe AR, particularly those with a less enlarged annulus.

Objective:To develop a pretest probability model of obstructive coronary artery disease with machine learning based on multi-site Chinese population data.Methods:Chinese regiStry in early deTection and Risk strAtificaTion of coronary plaques (C-Strat) study is a prospective multi-center cohort study, in which consecutive patients with suspected obstructive coronary artery disease and ≥64 detector row coronary computed tomography angioplasty (CCTA) evaluation were included. Data from the patients were randomly split into a training set (70%) and a test set (30%). More than 50% of coronary artery stenosis by CCTA was defined as positive outcome. A boosted ensemble algorithm (XGBoost), 10-fold cross-validation and Bayesian optimization were used to establish a new prediction model-CARDIACS(pretest probability model from Chinese registry in eARly Detection and rIsk stratificAtion of Coronary plaques Study), and a logistic regression was used to establish a model-LOGISTIC in training set. The test set was used for validation and comparison among CARDIACS, LOGISTIC, UDFM (updated Diamond-Forrester Model) and DFCASS(Diamond-Forrester and CASS).Results:The study population included 29 455 patients with age of (57.0±9.7) years and 44.8% women, of whom 19.1% (5 622/29 455) had obstructive coronary artery disease. For CARDIACS, the age, the reason for visit and the body mass index (BMI) were the most important predictive variables. In the independent test set, the area under the curve (AUC) of CARDIACS was 0.72 (95% CI 0.70-0.73), which was significantly superior to that of LOGISTIC (AUC 0.69, 95% CI 0.68-0.71, P=0.015), UDFM (AUC 0.64, 95% CI 0.62-0.65, P<0.001) and DFCASS (AUC 0.66, 95% CI 0.64-0.67, P<0.001), respectively. Conclusion:Based on Chinese population, the study developed a new pretest probability model--CARDIACS, which was superior to the traditional models. CARDIACS is expected to assist in the clinical decision-making for patients with stable chest pain.

Objective: Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTAbased risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD. Materials and Methods: This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015–2017. Leiden and Confirm scores were calculated and stratified as < 5 (reference), 5–20, and > 20 for Leiden and < 14.3 (reference), 14.3–19.5, and > 19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan–Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms. Results: During a median follow-up of 31 months (interquartile range, 27.6–37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rank p < 0.001). In the multivariable analysis, compared with Leiden score < 5, the hazard ratios for Leiden scores of 5–20 and > 20 were 2.37 (95% confidence interval [CI]: 1.53–3.69; p < 0.001) and 4.39 (95% CI: 2.40–8.01; p < 0.001), respectively, while the Confirm score did not demonstrate a statistically significant association with the risk of MACE. The Leiden score showed a greater AUC of 0.840 compared to 0.777 for the Confirm score (p < 0.001). Conclusion CCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.