Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective:To develop a 5-year mortality risk prediction model for patients with small cell neuroendocrine carcinoma of the cervix(SCNEC).Methods:Based on the Surveillance,Epidemiology,and End Results(SEER)database and R software version 4.3.3,variables were screened via Lasso regression,followed by multivariable logistic regression and stepwise regression to develop a 5-year mortality risk prediction model for SCNEC patients.The Akaike Information Criterion(AIC),C-index,receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test,and calibration curve were employed to evaluate the model.Results:Age,M stage,surgical status,and lymph node metastasis were ultimately selected as variables to construct the 5-year mortality risk prediction model for SCNEC patients.The model demonstrated superior predictive performance compared to FIGO staging(P＜0.01).The Hosmer-Lemeshow test yielded a P-value＞0.05.The C-index values for the training and validation sets were 0.808 and 0.755,respectively,with the areas under the ROC curves of 0.826 and 0.744.The calibration curves of the model fluctuated near the diagonal line,indicating good agreement between predicted and observed outcomes.The decision curve analysis demonstrated significant clinical net benefit.Results showed that higher mortality risk was associated with advanced age,M1 status,lymph node metastasis,and lack of surgical opportunity.Conclusions:The model exhibits good discriminatory power and accuracy,providing significant benefits to patients.Enhanced management should be implemented for patients with advanced age,distant metastasis,lymph node metastasis,or ineligibility for surgery.Lymph node metastasis is an independent risk factor for 5-year mortality in patients with SCNEC.

Objective To analyze the spatiotemporal evolution patterns of mortality and disease burden of smoking-related prostate cancer(PCa)from 1990 to 2021 and to predict the future trends,so as to provide evidence-based insights for optimizing regional PCa prevention policies and smoking cessation interventions.Methods Based on data from the Global Burden of Disease Study(GBD)2021,annual mortality,disability-adjusted life years(DALYs),years of life lost(YLLs),years lived with disability(YLDs),and age-standardized rates(ASRs)for PCa across 204 countries and 21 regions from 1990 to 2021 were obtained.Estimated annual percentage change(EAPC)was used to assess the disease burden and mortality of smoking-related PCa across global,regional,socio-demographic index(SDI),and age groups.An autoregressive integrated moving average(ARIMA)model was employed to predict trends in these indicators up to 2050.Results In 2021,smoking-related PCa caused 12 992 global deaths,a 30.74％increase compared to 1990.However,from 1990 to 2021,the global age-standardized mortality rate(ASMR),age-standardized DALYs rate(ASDR),age-standardized YLDs rate(ASYR),and age-standardized YLLs rate(ASLR)for smoking-related PCa declined,with EAPCs being-1.43(95％CI:-1.77--1.12),-1.39(95％CI:-1.66--1.12),-0.41(95％CI:-0.67--0.15)and-1.51(95％CI:-1.78--1.23).In 2021,the region with the highest number of deaths from PCa was Asia(4663 deaths),followed by Europe(4647 deaths),and Oceania had the lowest number of deaths(9 deaths).From 1990 to 2021,the mortality rate of PCa in most regions generally showed a downward trend.High SDI regions showed the most significant declines in ASMR,ASDR,and ASLR[EAPCs:-3.17(95％CI:-3.31--3.02),-2.91(95％CI:-3.02--2.83),and-3.22(95％CI:-3.35--3.09)].For ASYR,only high-SDI regions exhibited a decline,whereas low-middle-SDI regions saw the largest increase[EAPC:1.26(95％CI:1.19-1.33)].In 2021,the number of PCa deaths was more concentrated in the age groups of 70-74 and 75-79,with 2312 and 2278 deaths,respectively.From 1990 to 2021,ASMR,ASDR,and ASLR showed an overall downward trend,EAPC were-2.84(95％CI:-3.21--1.83),-2.77(95％CI:-3.13--1.75),and-2.84(95％CI:-3.14--1.71),with the most significant decline observed in individuals aged 35-39.Projections to 2050 indicated continuing declines in all burden metrics,which would stabilize in later years.Conclusion Despite a global decline in smoking-related PCa burden over the past three decades,significant regional disparities persist,with low-and middle-income countries facing ongoing challenges.Implementing stricter tobacco control policies is critical to mitigating smoking-related health risks.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

Objective:To develop a 5-year mortality risk prediction model for patients with small cell neuroendocrine carcinoma of the cervix(SCNEC).Methods:Based on the Surveillance,Epidemiology,and End Results(SEER)database and R software version 4.3.3,variables were screened via Lasso regression,followed by multivariable logistic regression and stepwise regression to develop a 5-year mortality risk prediction model for SCNEC patients.The Akaike Information Criterion(AIC),C-index,receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test,and calibration curve were employed to evaluate the model.Results:Age,M stage,surgical status,and lymph node metastasis were ultimately selected as variables to construct the 5-year mortality risk prediction model for SCNEC patients.The model demonstrated superior predictive performance compared to FIGO staging(P＜0.01).The Hosmer-Lemeshow test yielded a P-value＞0.05.The C-index values for the training and validation sets were 0.808 and 0.755,respectively,with the areas under the ROC curves of 0.826 and 0.744.The calibration curves of the model fluctuated near the diagonal line,indicating good agreement between predicted and observed outcomes.The decision curve analysis demonstrated significant clinical net benefit.Results showed that higher mortality risk was associated with advanced age,M1 status,lymph node metastasis,and lack of surgical opportunity.Conclusions:The model exhibits good discriminatory power and accuracy,providing significant benefits to patients.Enhanced management should be implemented for patients with advanced age,distant metastasis,lymph node metastasis,or ineligibility for surgery.Lymph node metastasis is an independent risk factor for 5-year mortality in patients with SCNEC.

Objective:To assess the feasibility and efficacy of transperineal laser ablation(TPLA)with single laser fiber in treating benign prostatic obstruction(BPO).Methods:From April 2021 to March 2024,a total of 13 BPO patients were selected from Beijing Friendship Hospital.TPLA was performed using a single laser fiber,which was guided by transrectal biplane ultrasound.The single laser fiber was used to undergo TPLA under the guidance of trans-rectal dual-plane ultrasound.The intraoperative time,ablation time,energy consumption,indwelling time of catheter,and complications were observed.The postoperative 6 months was chosen as the cut-off point of follow-up,and the pre and postoperative changes of international prostate symptom score(IPSS),quality of life index(QoL),prostate volume(PV),residual urine volume(RUV)and the maximum urine flow rate(Qmax)were compared.Results:All 13 patients successfully underwent TPLA with single laser fiber.The average operation time was(55.1±18.3)min,and the average ablation time was(16.3±1.7)min,and average energy consumption was(3951.6±459.7)J,and the median value of indwelling time of catheter was 7(7,10)days.The number of postoperative complication was 2 cases,and both them belonged to Clavien-Dindo grade II complication.At the postoperative 6th month,the IPSS,QoL,PV,Qmax and RUV of all patients were improved,all of which were better than preoperative these indicators,and the differences were significant(t=12.102,-3.228,-3.181,-2.581,-2.936,P<0.05).Conclusion:The application of single laser fiber in conducting TPLA operation is feasibility at technical aspect,and it can achieve the therapeutic goals of improving patients'symptoms and enhancing their quality of life.Although its operational time is slightly longer than that of using multiple fibers simultaneously,it can effectively reduce the cost of expenditure for consumables.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.