With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

OBJECTIVE: To explore the key target molecules and potential mechanisms of oridonin against non-small cell lung cancer (NSCLC). METHODS: The target molecules of oridonin were retrieved from SEA, STITCH, SuperPred and TargetPred databases; target genes associated with the treatment of NSCLC were retrieved from GeneCards, DisGeNET and TTD databases. Then, the overlapping target molecules between the drug and the disease were identified. The protein-protein interaction (PPI) was constructed using the STRING database according to overlapping targets, and Cytoscape was used to screen for key targets. Molecular docking verification were performed using AutoDockTools and PyMOL software. Using the DAVID database, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted. The impact of oridonin on the proliferation and apoptosis of NSCLC cells was assessed using cell counting kit-8, cell proliferation EdU image kit, and Annexin V-FITC/PI apoptosis kit respectively. Moreover, real-time quantitative PCR and Western blot were used to verify the potential mechanisms. RESULTS: Fifty-six target molecules and 12 key target molecules of oridonin involved in NSCLC treatment were identified, including tumor protein 53 (TP53), Caspase-3, signal transducer and activator of transcription 3 (STAT3), mitogen-activated protein kinase kinase 8 (MAPK8), and mammalian target of rapamycin (mTOR). Molecular docking showed that oridonin and its key target molecules bind spontaneously. GO and KEGG enrichment analyses revealed cancer, apoptosis, phosphoinositide-3 kinase/protein kinase B (PI3K/Akt), and other signaling pathways. In vitro experiments showed that oridonin inhibited the proliferation, induced apoptosis, downregulated the expression of Bcl-2 and Akt, and upregulated the expression of Caspase-3. CONCLUSION Oridonin can act on multiple targets and pathways to exert its inhibitory effects on NSCLC, and its mechanism may be related to upregulating the expression of Caspase-3 and downregulating the expressions of Akt and Bcl-2.
Diterpenes, Kaurane/chemistry* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Humans ; Network Pharmacology ; Lung Neoplasms/pathology* ; Cell Proliferation/drug effects* ; Apoptosis/drug effects* ; Molecular Docking Simulation ; Protein Interaction Maps/drug effects* ; Cell Line, Tumor ; Signal Transduction/drug effects* ; Gene Expression Regulation, Neoplastic/drug effects* ; Reproducibility of Results ; Gene Ontology

Objective To assess the effectiveness of the evaluation of military physical function(EMPF)system in predicting the occurrence of military training injuries among new recruits to provide scientific guidance and methodological choice for military training.Methods A total of 527 new recruits from 5 grassroots units from July 2016 to February 2018 were selected for the study.The recruits underwent EMPF testing,and their military training injuries were monitored over a 2-year follow-up period.Those who sustained injuries during training were divided into injury group(n=163),while the remaining recruits were placed in healthy group(n=364).The predictive ability of the total EMPF score for training injuries was assessed using the receiver operating characteristic curve(ROC),and the correlation between the total EMPF score,individual test scores,and military training injuries were analyzed using binary logistic regression.Results The total EMPF score of new recruits in injury group(19.52±1.97)was significantly lower than that of healthy group(24.31±1.54)(P<0.001),which also demonstrated a high diagnostic value in predicting the risk of military training injuries,with an area under the curve(AUC)of ROC of 0.971(P<0.001).A cut-off value of 22 scores was found to have the highest accuracy in predicting future training injuries,with an odds ratio(OR)of 25.63,sensitivity of 0.939,specificity of 0.879,positive likelihood ratio of 7.76,and a post-test probability of 0.67.Binary logistic regression analysis revealed that 6 EMPF tests,including holding the ball over and leaning back,bending forward and touching the ground with the ball,lunge squat and twist,swallow balance with holding the ball afterward,vertical jump,and respiratory pattern assessment,were negatively associated with the risk of military training injuries(P<0.0001).Conclusion The EMPF system can effectively predict the risk of military training injuries,with military personnel whose total EMPF score is less than 22 being at higher risk of sustaining such injuries.

AIM:To investigate of the effect of Shenqifuzheng injection(SFI)combined with PD-L1 antibody on tumor immune microenvironment and its efficacy.METHODS:A subcutaneous transplanta-tion tumor model for B16F10-LUC melanoma was created.The expression of Ki67,CD31,CD8,CD16,CD163,FOXP3,LY6C,LY6G with labeling antibodies was used to detect CD8+T cells,Treg cells,NK cells,MDSCs cells,centrocytes,and granulocytes in the tumor tissues via immunohistochemistry.Flow cy-tometry was used to measure the ratios of CD11c+,IA/IE+,and CD80+cells in splenic tissue,as well as the ratios of CD8+T,CD4+T,and Treg cells in tumor tissue.Additionally,granulocyte count and NK cell expression were analyzed.RESULTS:The immuno-histochemistry results indicate that the drug admin-istration group effectively suppressed tumor angio-genesis and cell proliferation,while decreasing the expression level of immunosuppressive cytokines CD4+T cells,Treg cells,MDSCs and centroblasts.Ad-ditionally,CD8 and NK cell infiltration was promot-ed compared to the control group.The results of the flow analysis demonstrated a significant in-crease in the expression level of CD8+T cells within tumor tissues,as well as inhibition of CD4+T,Treg,and DC cell infiltration within the spleen in the drug administration group.Additionally,the tumor volume analysis indicated that the drug administra-tion group effectively inhibited tumor growth.The flow results illustrate that the group administering treatment exhibited significant increases in CD8+T cell expression levels in tumor tissue and DC cells in the spleen.Furthermore,the treatment effec-tively inhibited the infiltration of CD4+T and Treg cells.The results also indicate that the treatment significantly reduced tumor growth,with the tumor inhibition rate being better with PD-L1 antibody alone than with the SFI group.Additionally,combin-ing drugs resulted in superior results compared to the PD-L1 antibody group alone.CONCLUSION:SFI combined with a PD-L1 antibody can have synergis-tic anti-tumor effects,potentially enhancing DC cell infiltration and promoting T cell activation.Immu-nohistochemistry results indicate a positive impact on the tumor immune microenvironment.

Objective:To investigate associations between cardiac biomarkers with stroke severity and short-term outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Affiliated Hospital of Qingdao University from June 2018 to February 2024 whose etiological classification was large artery atherosclerosis (LAA), small vessel occlusion (SVO) or cardioembolism (CE) were included retrospectively. According to the National Institutes of Health Stroke Scale score at admission, patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8). According to the modified Rankin Scale score at discharge, patients were divided into good outcome group (≤2) and poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent correlation between cardiac biomarkers and short-term outcome. The predictive value of cardiac biomarkers for poor outcome in patients with AIS and different stroke etiology subtypes were evaluated using receiver operating characteristic (ROC) curves. Results:A total of 2 151 patients with AIS were enrolled, including 1 256 males (58.4%), aged 67.40±11.34 years. 1 079 patents were LAA type (50.2%), 679 were SVO type (31.6%), and 393 were CE type (18.3%); 1 223 were mild stroke (56.86%) and 928 (43.14%) were moderate to severe stroke; 1 357 patients (63.09%) had good short-term outcome, and 794 (36.91%) had poor short-term outcome. Multivariate logistic regression analysis showed that N-terminal pro-B type natriuretic peptide (NT-proBNP), NT-proBNP/creatine kinase (CK) isoenzyme MB (CK-MB) ratio, and CK-MB/CK ratio were independent risk factors for poor short-term outcome. ROC curve analysis shows that the CK-MB/CK ratio had a higher predictive value for short-term poor outcome in patients with AIS (the area under the curve, 0.859, 95% confidence interval 0.839-0.879). Various cardiac biomarkers had a higher predictive value for short-term outcome of CE type and LAA type, but the predictive value for short-term outcome of SVO type was lower. Conclusions:Cardiac biomarkers are associated with the severity and poor outcome of AIS. NT-proBNP/CK-MB and CK-MB/CK ratios have higher predictive value for short-term poor outcome of AIS, especially in patients with CE type.

Objective To investigate the efficacy and safety of subcutaneous immunotherapy(SCIT)using dust mites in children with allergic asthma.Methods In a prospective randomized controlled study,98 children with dust mite-induced allergic asthma were randomly divided into a control group(n=49)and an SCIT group(n=49).The control group received inhaled corticosteroid treatment,while the SCIT group additionally received a standardized three-year SCIT regimen.The two groups were compared based on peripheral blood eosinophil percentage,visual analogue score(VAS),total medication score,Asthma Control Test/Childhood Asthma Control Test scores,fractional exhaled nitric oxide(FeNO),and lung function before treatment,and at 6 months,1 year,2 years,and 3 years after treatment.Adverse reactions were recorded post-injection to evaluate the safety of SCIT.Results Compared with pre-treatment levels,the SCIT group showed a significant reduction in the percentage of peripheral blood eosinophils,VAS,total medication score,and FeNO,while lung function significantly improved,and asthma control levels were better 3 years after treatment(P<0.05).Compared with the control group,the SCIT group showed more significant improvement in all evaluated indicators 3 years after treatment(P<0.05).A total of 2 744 injections were administered,resulting in 157 cases(5.72%)of local adverse reactions and 4 cases(0.15%)of systemic adverse reactions,with no severe systemic adverse events.Conclusions SCIT is an effective and safe treatment for allergic asthma in children.

Objective To explore the potential value of three-dimensional fast spin echo(3D-SPACE)combined with multilayer spiral CT(MSCT)in the diagnosis of knee cruciate ligament injury,to provide a new direction for the optimization of subsequent clinical diagnosis.Methods A total of 120 patients with knee cruciate ligament injury were treated from April 2020 to April 2021,aged from 21 to 68 with an average of(41.52±4.13)years old.For all patients,separate MSCT scanner scans,3D-SPACE sequence scans alone and 3D-SPACE sequence combined with MSCT scans were used.The injury and classifica-tion of the anterior and posterior cruciate ligament of the knee were compared,the length of the anterior-medial bundle and posterolateral bundle and its angle of the knee with the horizontal plane were observed,the diagnostic value of 3 diagnostic methods in knee cruciate ligament injury were determined.Results There was no significant difference between the 3D-SPACE sequence scan alone and the MSCT test alone on the total diagnostic rate and grading total diagnostic rate(P＞0.05).The total diagnostic rate and grading total diagnostic rate of 3D-SPACE scan combined with MSCT were significantly higher than those of 3D-SPACE scan or MSCT alone(P＜0.05).The 3D-SPACE sequence scan alone and the MSCT detection alone had no signifi-cant difference in the measurement values related to the anterior and posterior cruciate ligaments of the knee joint(P＞0.05).3D-SPACE sequence scanning combined with MSCT detection on the knee joint anterior and posterior cruciate ligament related mea-surements were significantly higher than the 3D-SPACE sequence scan or MSCT detection alone(P＜0.05).The area under the ROC curve estimated by 3D-SPACE sequence scanning combined with MSCT was 0.960,which was significantly higher than that of 3D-SPACE sequence scanning and MSCT alone evaluating the area under the ROC curve line of 0.756 and 0.795.The com-bined 3D-SPACE sequence scanning and 3D-SPACE sequence scanning MSCT analysis and prediction models were statistically different(Z=2.236,P＜0.05),and MSCT alone and 3D-SPACE sequence scanning combined with MSCT analysis and prediction models were statistically different(Z=2.653,P＜0.05).Conclusion The application of 3D-SPACE sequence combined with MSCT scanning for knee cruciate ligament injury can improve the diagnosis rate of patients with knee cruciate ligament injury.It can be used as a diagnostic tool for patients with knee cruciate ligament injury and is worthy of clinical application.

In recent years, targeted therapy and immunotherapy have been applied more and more widely in tumor treatment, and reports on psoriasis induced or exacerbated by these drugs have emerged continuously. This review summarizes and evaluates targeted therapeutic drugs and immunotherapeutic drugs that allegedly induce or aggravate psoriasis according to their targets and possible mechanisms, including programmed death receptor 1 inhibitors, epidermal growth factor receptor inhibitors, human epidermal growth factor receptor 2 inhibitors, anti-CD20 monoclonal antibodies, phosphoinositide 3-kinase δ inhibitors and multi-targeted drugs. In most cases, the relationships between drugs and the occurrence of psoriasis are possible or probable, and in only a few cases the causality is certain.

Chinese materia medica and its compound formulas have the characteristics of multi-component,multi-target,and multi pathway effects,and have unique advantages in preventing and treating complex diseases.Network pharmacology explains disease patterns and drug mechanisms from the perspective of complex biological networks,and explores the pharmacological substance basis and target of Chinese medicine.This article summarized the application of network pharmacology from the aspects of biological basis of TCM syndrome,the substance basis and pharmacological mechanism of TCM,compatibility theory of TCM compound formulas,etc.,with the purpose to provide a reference for the research and application of network pharmacology in TCM.

The condylar movement trajectories in healthy people usually have relatively consistent characteristics,while the change of the trajectory of the temporomandibular condyle often indicates the occurrence of various oral diseases.An in-depth understanding of the condylar movement can help physicians diagnose and evaluate the efficacy of oral diseases.This article reviews the development of con-dylar motion tracing technique,and introduces the research progress and clinical application status of condylar motion tracing analysis in various oral diseases.At the same time,the limitations of the current condylar motion tracing technique and the prospect of future clinical application are proposed.