BACKGROUND:In recent years,artificial intelligence has been increasingly integrated into the diagnosis and treatment of lumbar disc herniation,enhancing the accuracy and efficiency of diagnostic procedures and diversifying therapeutic approaches.This integration has positioned artificial intelligence as a burgeoning focal point within the field.OBJECTIVE:To provide a comprehensive overview of the current applications of artificial intelligence in the diagnosis and treatment of lumbar disc herniation,to analyze the limitations of the relevant technologies.METHODS:A systematic computer-assisted literature search was performed in PubMed,CNKI,WanFang Database,and VIP Database for relevant publications regarding the application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation from database inception up to August 2024.The search keywords included"lumbar disc herniation,artificial intelligence,machine learning,deep learning,big data,robot,neural network,model,algorithm."A total of 101 articles were selected based on predefined inclusion criteria and were reviewed.RESULTS AND CONCLUSION:Different artificial intelligence technologies have propelled the intelligent treatment of lumbar disc herniation,showing great potential for future development.Deep learning technology,based on advanced algorithms,constructs corresponding learning models to optimize the processing of X-ray,CT,and MRI images,achieving precise localization,identification,and analysis of degenerated intervertebral discs,and improving the accuracy of automated diagnosis.Big data technology utilizes data platforms to analyze vast medical data,simulate disease development trends,and provide a new perspective for disease assessment and prediction.Surgical robots,combined with robotic arms,3D high-definition vision systems,and 5G communication technology,support remote precise surgical operations,demonstrating significant technological advantages.In the future,the diagnosis and treatment of lumbar disc herniation by artificial intelligence will evolve towards standardization,efficiency,and precision through continuous optimization of algorithms and the professional development of data platforms.

Objective To investigate and analyze the epidemiological characteristics and the causes of a suspected outbreak of carbapenem-resistant Acinetobacter baumannii(CRAB)infection,and provide basis for healthcare-asso-ciated infection(HAI)prevention and control.Methods Information of 3 patients with CRAB positive culture from the respiratory intensive care unit(RICU)of a hospital in May 2024 was collected.Microbiological sampling was performed in patients' ward environment,and the specimens were cultured and strains were identified.CRAB strains detected from the environment and patients were performed whole genome sequencing(WGS).Multiple de-partments jointly formulated and implemented comprehensive infection control measures,and the effectiveness were evaluated.Results CRAB was cultured from specimens of sputum and bedside office mice of 3 patients.WGS de-tection showed that ST2158 and ST1791 resistance genes were detected from both sputum and bedside office mice of 2 patients.After comprehensive assessment,2 patients were confirmed with HAI and 1 patient was confirmed with colonization,ruling out an outbreak of HAI.A total of 24 environmental specimens were taken for environmental hygiene monitoring,with a CRAB detection rate of 58.33％.CRAB detected from bedside mice and patients' spu-tum specimen had consistent CRAB drug susceptibility testing results.After implementing measures such as in-creasing the frequency of cleaning and disinfection of ward environment,strengthening the implementation of hand hygiene,and enhancing the supervision of department personnel as well as HAI prevention and control training,HAI was effectively controlled.Conclusion The possible transmission route of this suspected CRAB outbreak in RICU is the contamination of office mice,which caused healthcare workers carrying CRAB in their hands,leading to cross infection due to poor hand hygiene implementation of healthcare workers.Strengthening the cleaning and dis-infection of environmental surface and the management of hand hygiene of healthcare workers are key measures to prevent CRAB HAI.

Objective To investigate the incidence and economic burden of healthcare-associated infection(HAI)in patients after liver transplant.Methods Basic clinical information,infection status,and related medical expenses of liver transplant patients in the department of hepatobiliary surgery in a tertiary first-class hospital from November 2012 to December 2023 were investigated retrospectively.A case-control study design was employed,with post-li-ver transplant patients who developed HAI as the infection group and those without HAI during the same period as the control group.The 1∶1 propensity score matching(PSM)method was adopted(caliper value was set at 0.05,employing sampling without replacement).Length of hospital stay and hospitalization expenses between patients in the infection group and the control group were compared using Wilcoxon rank-sum test,and the economic burden due to HAI was calculated.Results A total of 336 liver transplant patients were included in study,out of which 48 had HAI,with an incidence of 14.29％.44 pairs were successfully matched by PSM.After matching,the median hospitalization expense for patients in the infection group was 334 473.73 Yuan,while that of the control group was 285 824.82 Yuan,with a statistically significant difference(Z=-3.430,P＜0.05).The direct economic burden of HAI in liver transplant patients was 48 648.91 Yuan.After matching,the median length of hospital stay in the in-fection group(37.0 days)was 12.5 days longer than that in the control group(24.5 days),with statistically sig-nificnat difference(Z=-3.630,P＜0.001).Conclusion HAI after liver transplant increases patients' hospitaliza-tion expense and prolongs their hospital stay,thus brings huge economic burdens to the patients.

Objective To investigate and analyze the epidemiological characteristics and the causes of a suspected outbreak of carbapenem-resistant Acinetobacter baumannii(CRAB)infection,and provide basis for healthcare-asso-ciated infection(HAI)prevention and control.Methods Information of 3 patients with CRAB positive culture from the respiratory intensive care unit(RICU)of a hospital in May 2024 was collected.Microbiological sampling was performed in patients' ward environment,and the specimens were cultured and strains were identified.CRAB strains detected from the environment and patients were performed whole genome sequencing(WGS).Multiple de-partments jointly formulated and implemented comprehensive infection control measures,and the effectiveness were evaluated.Results CRAB was cultured from specimens of sputum and bedside office mice of 3 patients.WGS de-tection showed that ST2158 and ST1791 resistance genes were detected from both sputum and bedside office mice of 2 patients.After comprehensive assessment,2 patients were confirmed with HAI and 1 patient was confirmed with colonization,ruling out an outbreak of HAI.A total of 24 environmental specimens were taken for environmental hygiene monitoring,with a CRAB detection rate of 58.33％.CRAB detected from bedside mice and patients' spu-tum specimen had consistent CRAB drug susceptibility testing results.After implementing measures such as in-creasing the frequency of cleaning and disinfection of ward environment,strengthening the implementation of hand hygiene,and enhancing the supervision of department personnel as well as HAI prevention and control training,HAI was effectively controlled.Conclusion The possible transmission route of this suspected CRAB outbreak in RICU is the contamination of office mice,which caused healthcare workers carrying CRAB in their hands,leading to cross infection due to poor hand hygiene implementation of healthcare workers.Strengthening the cleaning and dis-infection of environmental surface and the management of hand hygiene of healthcare workers are key measures to prevent CRAB HAI.

With the rapid development of information technology,digitization of education has become an important driving force to promote education reform.In the education system of medical colleges,the construction and imple-mentation of professional curriculum courses play an important role in the cultivation of qualified medical talents.Emergence of education digitization has brought unprecedented opportunities but also some challenges to the curric-ulum construction by teachers in medical school.This paper aims to explore how to effectively promote construction of professional curriculums with information technology(IT)guided by education digitization strategy and to recom-mend a series of methods in terms of strategy implementation in medical schools.

BACKGROUND:In recent years,artificial intelligence has been increasingly integrated into the diagnosis and treatment of lumbar disc herniation,enhancing the accuracy and efficiency of diagnostic procedures and diversifying therapeutic approaches.This integration has positioned artificial intelligence as a burgeoning focal point within the field.OBJECTIVE:To provide a comprehensive overview of the current applications of artificial intelligence in the diagnosis and treatment of lumbar disc herniation,to analyze the limitations of the relevant technologies.METHODS:A systematic computer-assisted literature search was performed in PubMed,CNKI,WanFang Database,and VIP Database for relevant publications regarding the application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation from database inception up to August 2024.The search keywords included"lumbar disc herniation,artificial intelligence,machine learning,deep learning,big data,robot,neural network,model,algorithm."A total of 101 articles were selected based on predefined inclusion criteria and were reviewed.RESULTS AND CONCLUSION:Different artificial intelligence technologies have propelled the intelligent treatment of lumbar disc herniation,showing great potential for future development.Deep learning technology,based on advanced algorithms,constructs corresponding learning models to optimize the processing of X-ray,CT,and MRI images,achieving precise localization,identification,and analysis of degenerated intervertebral discs,and improving the accuracy of automated diagnosis.Big data technology utilizes data platforms to analyze vast medical data,simulate disease development trends,and provide a new perspective for disease assessment and prediction.Surgical robots,combined with robotic arms,3D high-definition vision systems,and 5G communication technology,support remote precise surgical operations,demonstrating significant technological advantages.In the future,the diagnosis and treatment of lumbar disc herniation by artificial intelligence will evolve towards standardization,efficiency,and precision through continuous optimization of algorithms and the professional development of data platforms.

Objective:To analyze the expression of tumor-associated transmembrane protein 61 (TMEM61) in cholangiocarcinoma tissues and its influence on prognosis and immune infiltration, as well as the effect on the proliferation of cholangiocarcinoma cells.Methods:In the cholangiocarcinoma gene chip dataset (TCGA-CHOL), differentially expressed genes between cholangiocarcinoma tissues and normal bile duct tissues were screened, and the upregulated TMEM61 gene was selected for further analysis. Based on the TMEM61 expression, cholangiocarcinoma patients higher than the median value were classified as the high-expression group ( n=17), and those lower than the median value were classified as the low-expression group ( n=18). The Kaplan-Meier survival curve was plotted. Functional and pathway enrichment analyses were conducted on differentially expressed genes related to TMEM61, and the correlations between TMEM61 expression and immune cells and immune molecules were respectively analyzed. The expression level of TMEM61 in cholangiocarcinoma tissues was analyzed by immunohistochemistry; The effect of TMEM61 expression on the proliferation of cholangiocarcinoma cells was detected by Western blotting, CCK-8, clone formation assay, etc. Results:Compared with normal tissues, the expression of TMEM61 mRNA in cholangiocarcinoma tissues was significantly upregulated ( t=18.31, P<0.001). The overall survival rate of patients in the high-expression group of TMEM61 was significantly lower than that in the low-expression group, and the difference was statistically significant ( χ2=7.23, P=0.007). The differentially expressed genes related to TMEM61 were involved in cell proliferation, cell cycle and DNA replication, etc. Compared with normal tissues, regulatory T cells ( t=10.21, P<0.001) and M0-type macrophages ( t=5.89, P=0.008) were significantly increased in cholangiocarcinoma tissues. Plasma cells ( t=7.34, P=0.002), γδT cells ( t=9.87, P<0.001), and M2-type macrophages ( t=11.53, P<0.001) were significantly decreased in cholangiocarcinoma tissues. The expression of TMEM61 was correlated with neurociliary protein 1, tumor necrosis factor ligand superfamily member 15 and B7 homologous protein 3 (all P<0.05). The proportion of positive staining area of TMEM61 protein in normal tissues was (10.15±2.27) %, and that in cholangiocarcinoma tissues was (69.43±11.66) %. The difference was statistically significant ( t=14.97, P<0.001). Inhibition of TMEM61 expression led to a decrease in the number of cholangiocarcinoma cell clones and proliferation activity, and the differences were statistically significant (both P<0.01). Conclusion:The expression of TMEM61 is elevated in cholangiocarcinoma tissues and is associated with poor prognosis. The abnormally high expression of TMEM61 affects the infiltration of immune cells and promotes the proliferation of cholangiocarcinoma cells. TMEM61 is expected to become a potential biomarker for the prognosis assessment of cholangiocarcinoma.

Objective To investigate the incidence and economic burden of healthcare-associated infection(HAI)in patients after liver transplant.Methods Basic clinical information,infection status,and related medical expenses of liver transplant patients in the department of hepatobiliary surgery in a tertiary first-class hospital from November 2012 to December 2023 were investigated retrospectively.A case-control study design was employed,with post-li-ver transplant patients who developed HAI as the infection group and those without HAI during the same period as the control group.The 1∶1 propensity score matching(PSM)method was adopted(caliper value was set at 0.05,employing sampling without replacement).Length of hospital stay and hospitalization expenses between patients in the infection group and the control group were compared using Wilcoxon rank-sum test,and the economic burden due to HAI was calculated.Results A total of 336 liver transplant patients were included in study,out of which 48 had HAI,with an incidence of 14.29％.44 pairs were successfully matched by PSM.After matching,the median hospitalization expense for patients in the infection group was 334 473.73 Yuan,while that of the control group was 285 824.82 Yuan,with a statistically significant difference(Z=-3.430,P＜0.05).The direct economic burden of HAI in liver transplant patients was 48 648.91 Yuan.After matching,the median length of hospital stay in the in-fection group(37.0 days)was 12.5 days longer than that in the control group(24.5 days),with statistically sig-nificnat difference(Z=-3.630,P＜0.001).Conclusion HAI after liver transplant increases patients' hospitaliza-tion expense and prolongs their hospital stay,thus brings huge economic burdens to the patients.

Objective:To analyze the expression of tumor-associated transmembrane protein 61 (TMEM61) in cholangiocarcinoma tissues and its influence on prognosis and immune infiltration, as well as the effect on the proliferation of cholangiocarcinoma cells.Methods:In the cholangiocarcinoma gene chip dataset (TCGA-CHOL), differentially expressed genes between cholangiocarcinoma tissues and normal bile duct tissues were screened, and the upregulated TMEM61 gene was selected for further analysis. Based on the TMEM61 expression, cholangiocarcinoma patients higher than the median value were classified as the high-expression group ( n=17), and those lower than the median value were classified as the low-expression group ( n=18). The Kaplan-Meier survival curve was plotted. Functional and pathway enrichment analyses were conducted on differentially expressed genes related to TMEM61, and the correlations between TMEM61 expression and immune cells and immune molecules were respectively analyzed. The expression level of TMEM61 in cholangiocarcinoma tissues was analyzed by immunohistochemistry; The effect of TMEM61 expression on the proliferation of cholangiocarcinoma cells was detected by Western blotting, CCK-8, clone formation assay, etc. Results:Compared with normal tissues, the expression of TMEM61 mRNA in cholangiocarcinoma tissues was significantly upregulated ( t=18.31, P<0.001). The overall survival rate of patients in the high-expression group of TMEM61 was significantly lower than that in the low-expression group, and the difference was statistically significant ( χ2=7.23, P=0.007). The differentially expressed genes related to TMEM61 were involved in cell proliferation, cell cycle and DNA replication, etc. Compared with normal tissues, regulatory T cells ( t=10.21, P<0.001) and M0-type macrophages ( t=5.89, P=0.008) were significantly increased in cholangiocarcinoma tissues. Plasma cells ( t=7.34, P=0.002), γδT cells ( t=9.87, P<0.001), and M2-type macrophages ( t=11.53, P<0.001) were significantly decreased in cholangiocarcinoma tissues. The expression of TMEM61 was correlated with neurociliary protein 1, tumor necrosis factor ligand superfamily member 15 and B7 homologous protein 3 (all P<0.05). The proportion of positive staining area of TMEM61 protein in normal tissues was (10.15±2.27) %, and that in cholangiocarcinoma tissues was (69.43±11.66) %. The difference was statistically significant ( t=14.97, P<0.001). Inhibition of TMEM61 expression led to a decrease in the number of cholangiocarcinoma cell clones and proliferation activity, and the differences were statistically significant (both P<0.01). Conclusion:The expression of TMEM61 is elevated in cholangiocarcinoma tissues and is associated with poor prognosis. The abnormally high expression of TMEM61 affects the infiltration of immune cells and promotes the proliferation of cholangiocarcinoma cells. TMEM61 is expected to become a potential biomarker for the prognosis assessment of cholangiocarcinoma.

Objective: To determine the active components of Eupolyphaga sinensis Walker (Tu Bie Chong) and explore the mechanisms underlying its fracture-healing ability. Methods: A modified Einhorn method was used to develop a rat tibial fracture model. Progression of bone healing was assessed using radiological methods. Safranin O/fast green and CD31 immunohistochemical staining were performed to evaluate the growth of bone cells and angiogenesis at the fracture site. Methylthiazoletetrazolium blue and wound healing assays were used to analyze cell viability and migration. The Transwell assay was used to explore the invasion capacity of the cells. Tubule formation assays were used to assess the angiogenesis capacity of human vascular endothelial cells (HUVECs). qRT-PCR was used to evaluate the changes in gene transcription levels. Results: Tu Bie Chong fraction 3 (TF3) significantly shortened the fracture healing time in model rats. X-ray results showed that on day 14, fracture healing in the TF3 treatment group was significantly better than that in the control group (P = .0086). Tissue staining showed that cartilage growth and the number of H-shaped blood vessels at the fracture site of the TF3 treatment group were better than those of the control group. In vitro, TF3 significantly promoted the proliferation and wound healing of MC3T3-E1s and HUVECs (all P < .01). Transwell assays showed that TF3 promoted the migration of HUVECs, but inhibited the migration of MC3T3-E1 cells. Tubule formation experiments confirmed that TF3 markedly promoted the ability of vascular endothelial cells to form microtubules. Gene expression analysis revealed that TF3 significantly promoted the expression of VEGFA, SPOCD1, NGF, and NGFR in HUVECs. In MC3T3-E1 cells, the transcript levels of RUNX2 and COL2A1 were significantly elevated following TF3 treatment. Conclusion TF3 promotes fracture healing by promoting bone regeneration associated with the RUNX2 pathway and angiogenesis associated with the VEGFA pathway.