Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective To establish and evaluate an integrated disease-syndrome rat model of chronic cerebral ischemia with Qi deficiency and blood stasis syndrome.Methods Thirty male Wistar rats were allocated randomly into three groups(n=10 per group):sham operation(sham),2-vessel occlusion(2-VO)group,and sleep deprivation combined with 2-VO(SD+2-VO)group.We comprehensively assessed Qi deficiency and blood stasis syndrome manifestations in the rats using a dual evaluation approach,combining exhaustive swimming tests with quantitative tongue chroma analysis.Cognitive function was evaluated using the Barnes maze,and cerebral blood flow was compared using laser speckle contrast imaging.The histopathology of the hippocampal cytoarchitecture and white matter were examined using hematoxylin-eosin(HE)and Luxol fast blue(LFB)staining,respectively,and ultrastructural alterations of neurons in the hippocampal CA1 region were observed by transmission electron microscopy(TEM).Protein expression levels of NeuN,vascular endothelial growth factor A(VEGFA)and CD31 were detected by Western Blot and immunofluorescence.Results Cerebral blood flow was significantly reduced in rats in the 2-VO group compared with the sham group,but they failed to recapitulate the key clinical hallmarks of Qi deficiency and blood stasis syndrome.In contrast,rats in the SD+2-VO group exhibited significantly reduced locomotor activity,exacerbated cerebral hypoperfusion,shortened swimming duration,and darkened tongue color compared with 2-VO rats.Rats in the SD+2-VO group demonstrated significantly impaired learning and memory abilities in the Barnes maze test.Consistent with these observations,HE staining,TEM,and LFB staining revealed substantial neuronal and white matter damage in the SD+2-VO group.NeuN expression was decreased and VEGFA and CD31 expression levels were increased in the 2-VO and SD+2-VO groups,as shown by Western Blot.Taken together,these findings indicated that the SD+2-VO model effectively recapitulated the clinical features of chronic cerebral ischemia with Qi deficiency and blood stasis pattern.Conclusions The combination of sleep deprivation and bilateral carotid artery occlusion successfully established a rat model of chronic cerebral ischemia with Qi deficiency and blood stasis syndrome.Compared with the 2-VO model,SD+2-VO model demonstrates more pronounced syndrome manifestations and better clinical relevance,thus providing a valuable animal model for traditional Chinese medicine research on chronic cerebral ischemia.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective To study the need for blood compatibility evaluation of medical devices that come into indirect contact with blood in order to accurately evaluate the risk of their interaction with blood.Methods Seven medical devices with indirect contact with blood were selected as samples including extension tubes of central venous catheters,port bodies of implantable drug delivery devices,infusion sets,receiving lines of dialysis equipment,auxiliary lines of left ventricular assist devices,blood monitors and catheter holders,with high-density polyethylene as the negative control,glass beads as the positive control and blank whole blood or plasma for the blank control.Partial thromboplastin time(PTT)test,platelet count test and hematology test(white blood cell and red blood cell count)were performed by direct contact method and indirect contact method,respectively.In the direct contact method,whole blood or plasma was in direct contact with the sample;while in the indirect contact method,whole blood or plasma was not in direct contact with the extraction solution,with no direct contact with the sample.Results With the indirect contact method the ratios(expressed as a percentage)of the PTT,platelate,WBC and RBC counts of the samples,positive and negative controls to those of the blank control were all higher than those with the direct contact method,and the indirect contact method had the sensitivity lower than that of the direct contact method.Conclusion Medical devices indirectly contacting blood have low risks for causing coagulation and platelet and hematologic adverse reactions,which are suggested to be evaluated for hemolysis testing only in case of the history of safe clinical use.[Chinese Medical Equipment Journal,2025,46(8):44-49]

Alzheimer's disease(AD)is an age-related neurodegenerative disease with an increasing incidence worldwide.A large number of studies have shown that the incidence rates of hearing loss is high in patients with mild cognitive impairment and Alzheimer's disease,and may be a risk factor for the occurrence and development of cognitive impairment.There is an interaction between the two,but the causal mechanism is still unclear.Early screening and management of hearing impairment may play an important role in the early diagnosis,symptom im-provement and disease progression of Alzheimer's disease.This paper reviews relevant clinical and basic research to discuss the correlation between hearing loss and Alzheimer's disease,and the possible causal mechanism between them.

Objective:To explore the role of circ_0007766 molecule cyclized from the erb-b2 receptor tyrosine kinase 2(ERBB2)gene in prostate cancer(PCa)cells and the impact of hypoxia on the regulation of its expression.Methods:The expression of circ_0007766 molecule in PCa cells and tissues was detected by qRT-PCR.The siRNA of circ0007766 was transfected to PCa cells(DU145 cell and PC3 cell)respectively;Colony formation assay,CCK-8 assay and Transwell assay were performed to detect the effect of circ_0007766 knockdown on the colony formation,proliferation,migration,and invasion abilities of PCa cells.Hypoxia cell model of DU145 and PC3 cells were established by hypoxic chamber method,and WB was performed to detect the protein expression of HIF-1α,a key molecule of the hypoxic pathway.qRT-PCR was performed to detect the expression of circ_0007766 molecule in hypoxic cell model,and the protein expression of RNA-binding protein eukaryotic translation initiation factor 4A3(EIF4A3)was detected by WB.RNA immunoprecipitation(RIP)was performed to detect the binding of EIF4A3 to circ_0007766 under hypoxic conditions.qRT-PCR assay was performed to further detect the effect of EIF4A3 knockdown on the expression of circ_0007766 under hypoxic conditions.Results:circ_0007766 was highly expressed in PCa cells(P<0.01)and PCa tissues(P<0.05).The knockdown of circ_0007766(P<0.05 or P<0.01)could significantly inhibit the proliferation,migration and invasion abilities of PCa cells(all P<0.01).The upregulation of HIF-1α protein under hypoxic conditions confirmed the successful establishment of the hypoxia cell model.qRT-PCR analysis revealed that compared with that in the normoxia group,circ_0007766 expression was markedly elevated in the hypoxia group(P<0.01).WB analysis demonstrated increased EIF4A3 protein expression in cells of the hypoxia group.RIP assays indicated that circ_0007766 was highly concentrated in the EIF4A3-enriched group(P<0.01).Additionally,qRT-PCR showed that hypoxia significantly boosted circ_0007766 expression,whereas EIF4A3 knockdown notably diminished the hypoxia-induced expression of circ_0007766(P<0.05 or P<0.01).Conclusion:Circ-0007766 plays the role of cancer-promoting molecule in PCa cells,and its expression is related to the regulation of EIF4A3 molecule under hypoxic conditions.

BACKGROUND:Peripheral nerve injuries can cause severe functional disabilities in patients,and long-segment nerve defects often fail to regenerate spontaneously.In recent years,tissue engineering techniques have gradually been applied to the repair of long-segment nerve injuries,yet research hotspots and development trends are unclear.OBJECTIVE:To analyze the research hotspots and trends in the field of peripheral nerve tissue engineering over the past 20 years using bibliometric software.METHODS:CiteSpace 6.2R6 software was employed to conduct highly cited analysis and keyword analysis on peripheral nerve tissue engineering literature published from 2004 to 2024 in the Web of Science and China National Knowledge Infrastructure(CNKI)databases.The keyword analysis encompasses keyword co-occurrence analysis,keyword clustering analysis,keyword timeline analysis,and keyword emergence analysis.RESULTS AND CONCLUSION:A total of 2 961 articles from the Web of Science database and 1171 articles from the CNKI database were included.The number of publications in the Web of Science database showed fluctuations but exhibited an overall increasing trend year by year,while the publication volume in the CNKI database remained relatively stable annually.Most of the top ten most cited articles in the Web of Science database were review articles.The results of the keyword analysis from Web of Science and CNKI databases indicated that the most studied nerve tissue engineering materials over the past 20 years include silk fibroin,collagen,chitosan,polycaprolactone,polylactic acid,and graphene.The biochemical cues investigated in these materials include olfactory ensheathing cells,Schwann cells,stem cells,and nerve growth factors.The most commonly employed external physical factor is electrical stimulation applied to the materials.Among various tissue engineering techniques,electrospinning technology and 3D printing technology have been the most extensively researched.