Medical equipment management plays a crucial role in enhancing the quality and efficiency of healthcare services. However, traditional management approaches are increasingly inadequate to meet the growing demands of modern healthcare. As intelligent operation and maintenance (O&M) models based on big data, the Internet of Things (IoT), and artificial intelligence (AI) technologies develop, it is imperative to explore their application in medical equipment management. This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. It also proposes issues that need improvement in intelligent O&M models, aiming to provide valuable references for the future development of medical equipment management.
Artificial Intelligence ; Algorithms ; Internet of Things ; Equipment and Supplies ; Big Data

Objective The aim was to explore a new method of tumor MDT management in a third-class comprehensive hospital by combining the experience of tumor MDT management in a certain hospital and the national medical quality and safety improvement goals of improving the rate of clinical TNM staging assessment before tumor treatment and improving the rate of pre-operative multidisciplinary discussion completion for grade Ⅳ surgery.Methods By retrospectively analyzing the quality control of MDT patients and the medical records of newly diagnosed malignant tumors from November 2021 to September 2024,the MDT rate and TN staging rate of newly diagnosed malignant tumors during this period were evaluated.Results By establishing expert and secretary teams,formulating work systems,and supervising their implementation within hospital,the MDT rate for newly di-agnosed malignant tumors reached 82.35％by September 2024,and the TNM staging rate reached 94.44％.Conclusion With the help of the system and team,the MDT rate and TNM staging rate of malignant tumor patients were continuously improved,the standardization and homogeneity of the diagnosis and treatment of malignant tumors were promoted,the level of tumor diagnosis and treatment services in a certain hospital was effectively improved and promoted,and the development of the diagnosis and treatment technology of malignant tumors in the field of multi-disciplinary intersection was promoted.

Objective To investigate the effect of triglyceride-glucose index(TyG)on the short-term prognosis of patients with initial acute ischemic stroke.Methods A total of 391 patients with initial acute ischemic stroke who were hospitalized in Kunshan Second People's Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University from Jun.2020 to Jun.2023 were retrospectively included.According to the modified Rankin scale(mRS)scores at 90 d follow-up,they were assigned to good prognosis group(286 cases)or poor prognosis group(105 cases).Logistic regression and receiver operating characteristic(ROC)curve were used to evaluate the effect of TyG on the short-term prognosis of patients with initial acute ischemic stroke.Results Compared with the good prognosis group,the patients of poor prognosis group had older age,higher proportion of atrial fibrillation,higher levels of homocysteine,triglyceride,total cholesterol,low-density lipoprotein,and TyG,and higher National Institutes of Health stroke scale(NIHSS)score(all P＜0.05).Multivariate logistic regression analysis showed that age,homocysteine,TyG and NIHSS score were independent risk factors for poor prognosis in patients with initial acute ischemic stroke(all P＜0.05).ROC curve analysis showed that TyG combined with NIHSS score had good predictive value for poor prognosis of patients with initial acute ischemic stroke,and the area under curve value was 0.795.Conclusion The combination of TyG and NIHSS score is an independent influencing factor for poor short-term prognosis in patients with initial acute ischemic stroke.

BACKGROUND:MXene-based hydrogel is a kind of nano-composite multifunctional hydrogel material,which has broad application prospects in the field of chronic wound repair,such as diabetic foot,pressure sore,cancer,and traumatic ulcer.OBJECTIVE:To review the advantages of MXene-based hydrogels and their application and related action mechanism in wound repair.METHODS:The articles included in CNKI,VIP,PubMed,and Science Direct databases were searched from January 2010 to October 2023.The key words were"MXene,hydrogel,tissue engineering application,wound repair"in Chinese and"MXene,hydrogel,wound repair"in English.Finally,70 articles that met the criteria were selected for review.RESUILTS AND CONCLUSION:MXene-based hydrogels have excellent mechanical,electrical,photo-thermal properties,biocompatibility,and antibacterial effects in wound tissue engineering,and can be combined with other organic and inorganic substances to produce greater therapeutic effects in hydrogel.MXene-based hydrogels can be applied to skin wounds in combination with wound monitoring,drug delivery and release,and photothermal therapy.Despite some progresses in the design and preparation of MXene-based hydrogel composites,they are still in the fundamental research stage.There is a lack of clinical validation regarding their effectiveness and safety,but they hold great potential for development and application.

Objective To investigate the relationship between the atherogenic index of plasma(AIP),carotid intima-media thick-ness(CIMT),and brachial-ankle pulse wave velocity(baPWV)with the 10-year risk of atherosclerotic cardiovascular disease(AS-CVD)in patients with type 2diabetes mellitus(T2DM).Methods This study retrospectively analyzed the clinical data of 131 T2DM pa-tients managed through the National Metabolism Management Center(MMC)at the Affiliated Central Hospital of Shandong First Medical University from January 2020 to December 2022,all of whom had undergone AIP,CIMT and baPWV assessments.The 10-year ASCVD risk for each patient was estimated using the China-PAR model,classifying patients into low-to-moderate and high-risk groups.Uni-variate analysis was employed to identify variables correlated with cardiovascular risk,followed by multivariate Logistic regression analysis to evaluate the independent impact of AIP,CIMT and baPWV on ASCVD risk.The Hosmer-Lemeshow goodness-of-fit test was used to assess the suitability of the combined variables(AIP,CIMT and baPWV).Lastly,the predictive efficacy of the combined variables and individual indicators was assessed using receiver operating characteristic(ROC)curves and the DeLong test.Results Multivariate Logis-tic regression analysis demonstrated that AIP,CIMT and baPWV were independent risk factors for ASCVD in T2DM patients(OR＞1,P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated satisfactory model fit(x2=2.725,P=0.950).The combined variable of AIP,CIMT and baPWV exhibited superior discriminative ability in predicting ASCVD risk among T2DM patients(AUC=0.834),sig-nificantly outperforming individual variables.Conclusion AIP,CIMT and baPWV have significant clinical value in assessing ASCVD risk in T2DM patients.Integrating these indicators enhances predictive performance,offering an effective tool for individualized cardiovascular risk assessment in T2DM patients.

Objective The aim was to explore a new method of tumor MDT management in a third-class comprehensive hospital by combining the experience of tumor MDT management in a certain hospital and the national medical quality and safety improvement goals of improving the rate of clinical TNM staging assessment before tumor treatment and improving the rate of pre-operative multidisciplinary discussion completion for grade Ⅳ surgery.Methods By retrospectively analyzing the quality control of MDT patients and the medical records of newly diagnosed malignant tumors from November 2021 to September 2024,the MDT rate and TN staging rate of newly diagnosed malignant tumors during this period were evaluated.Results By establishing expert and secretary teams,formulating work systems,and supervising their implementation within hospital,the MDT rate for newly di-agnosed malignant tumors reached 82.35％by September 2024,and the TNM staging rate reached 94.44％.Conclusion With the help of the system and team,the MDT rate and TNM staging rate of malignant tumor patients were continuously improved,the standardization and homogeneity of the diagnosis and treatment of malignant tumors were promoted,the level of tumor diagnosis and treatment services in a certain hospital was effectively improved and promoted,and the development of the diagnosis and treatment technology of malignant tumors in the field of multi-disciplinary intersection was promoted.

Objective To investigate the regulatory effect and mechanism of Yiqi Jiedu Decoction(YQJD)on ionizing radiation-induced macrophage polarization and its correlation with the Toll-like receptor 4(TLR4)/myeloid differentiation primary response protein 88(MyD88)/nuclear factor kappa-B(NF-κB)signaling pathway.Methods Fifty-five specific-pathogen-free male Sprague-Dawley rats were randomly divided into blank(n=30),anduolin(n=10),and YQJD groups(n=15).They were respectively gavaged with deionized water,anduolin suspension(0.345 6 g/kg),and YQJD high-dose(20.88 g/kg)at a dose of 0.01 mL/g body weight once a day for seven consecutive days.2 hours after the last gavage,blood was collected from the abdominal aorta to prepare the control rat,andolin rat,and YQJD high-dose sera.Appropriate amounts of YQJD high-dose and control sera were mixed in a ratio of 1∶1 and 1∶3,respectively,to obtain YQJD medium-and low-dose rat serum.RAW264.7 cells were divided into blank(10%blank rat serum),model(10%blank rat serum),anduolin(10%anduolin rat serum),and YQJD-L,YQJD-M,YQJD-H groups(10%YQJD low-,medium-,and high-dose rat serum).Except for the blank group,the cells in other groups were irradiated with 12 Gy60 Co γ-rays once to establish the macrophage radiation injury model.At 24 h after irradiation,cell viability was detected using the CCK-8 method,and the cell migration rate was measured using the scratch test.Cell morphology was observed using phalloidin staining,tumor necrosis factor-alpha(TNF-α)and interleukin-10(IL-10)levels in the cell supernatant were quantified using enzyme-linked immunosorbent assay,and the proportion of M1 macrophages was detected using flow cytometry.TLR4,MyD88,and NF-κB protein expression were detected using Western blotting.Results Twenty-four hours after irradiation,compared with the blank group,the model group exhibited significantly reduced cell viability and migration rate(P<0.01),increased cell volume and pseudopodia formation,elevated TNF-α and IL-10 levels,an increased proportion of M1 macrophages,and upregulated TLR4,MyD88,and NF-κB protein expression(P<0.05,P<0.01).Compared with the model group,each drug-treated group showed improved cell viability and migration rate(P<0.05,P<0.01),decreased cell volume,more regular cell shape,reduced TNF-α levels,lower M1-type macrophage proportion,and downregulated TLR4,MyD88,and NF-κB protein expression(P<0.05,P<0.01).IL-10 level showed an upward trend.Conclusion YQJD can partially inhibit M1 macrophage polarization and suppress inflammatory responses,which may be related to the TLR4/MyD88/NF-κB signaling pathway.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

Objective To investigate the relationship between the atherogenic index of plasma(AIP),carotid intima-media thick-ness(CIMT),and brachial-ankle pulse wave velocity(baPWV)with the 10-year risk of atherosclerotic cardiovascular disease(AS-CVD)in patients with type 2diabetes mellitus(T2DM).Methods This study retrospectively analyzed the clinical data of 131 T2DM pa-tients managed through the National Metabolism Management Center(MMC)at the Affiliated Central Hospital of Shandong First Medical University from January 2020 to December 2022,all of whom had undergone AIP,CIMT and baPWV assessments.The 10-year ASCVD risk for each patient was estimated using the China-PAR model,classifying patients into low-to-moderate and high-risk groups.Uni-variate analysis was employed to identify variables correlated with cardiovascular risk,followed by multivariate Logistic regression analysis to evaluate the independent impact of AIP,CIMT and baPWV on ASCVD risk.The Hosmer-Lemeshow goodness-of-fit test was used to assess the suitability of the combined variables(AIP,CIMT and baPWV).Lastly,the predictive efficacy of the combined variables and individual indicators was assessed using receiver operating characteristic(ROC)curves and the DeLong test.Results Multivariate Logis-tic regression analysis demonstrated that AIP,CIMT and baPWV were independent risk factors for ASCVD in T2DM patients(OR＞1,P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated satisfactory model fit(x2=2.725,P=0.950).The combined variable of AIP,CIMT and baPWV exhibited superior discriminative ability in predicting ASCVD risk among T2DM patients(AUC=0.834),sig-nificantly outperforming individual variables.Conclusion AIP,CIMT and baPWV have significant clinical value in assessing ASCVD risk in T2DM patients.Integrating these indicators enhances predictive performance,offering an effective tool for individualized cardiovascular risk assessment in T2DM patients.