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 investigate the expression and clinical significance of kynurenine-3-monooxygenase (KMO) in peripheral blood mononuclear cells ( PBMC ) ，synovial tissue ，and fibroblastic-like synovial cells (FLS) of rheumatoid arthritis (RA) patients． Methods : Peripheral blood samples from 25 healthy control ( HC) individuals and 25 patients diagnosed with RA were collected ，and real-time fluorescence quantitative PCR and Western blot were used to detect KMO gene and protein expression in PBMC of RA and HC groups，and to analyze the correlation between the expression level of the KMO gene in the PBMC of the RA patients and the indexes of the laboratory tests．Meanwhile，immunohistochemistry and immunofluorescence were used to detect KMO expression in synovial tissue and FLS in RA and HC groups． Results : ① KMO gene and protein expression in PBMC of RA group were higher than that of HC group，and the difference was statistically significant (P＜0. 001) ．② The level of KMO gene expression in PBMC of RA group was positively correlated with disease activity index 28 score，blood sedimentation，and rheumatoid factor (rs = 0. 417，P = 0. 038 ; r = 0. 545，P = 0. 005 ; rs = 0. 433，P = 0. 031) ， and had no correlation with C-reactive protein and anti-cyclic citrullinated polypeptide antibody．③ KMO expres- sion in synovial tissue of RA group was higher than that of HC group，and the difference was statistically significant (P＜0. 01) ; KMO expression in FLS of synovial tissue of RA group was higher than that of HC group，and the difference was statistically significant (P ＜0. 001) ． Conclusion KMO expression increases in PBMC ，synovial tissue and FLS of RA patients，and the level of KMO gene expression is correlated with the disease activity of RA patients，suggesting that KMO may promote the course of RA．

In the context of comprehensively advancing the Healthy China initiative,the high-quality development of public hospitals must be guided by the core principle of"people's health".It provides a systematic analysis of the historical evolution of developmental paradigms in Chinese public hospitals.By integrating the current policy requirements for their high-quality development,it proposes key pathways including the innovation of development concepts,the reconstruction of hospital connotations,the extension of service management,the optimization of the system structure,and the empowerment of digital and intelligent technologies.Through empirical case studies that demonstrate the viability of these pathways,it aims to provide theoretical support and practical reference for the high-quality development of public hospitals centered on people's health.

Hepatitis virus is the main pathogen causing liver inflammation and damage. Early detection is crucial for the effective treatment of hepatitis. The detection technology of hepatitis virus has gone through multiple stages, including immunological detection technology and nucleic acid detection technology. The emergence of emerging molecular detection technologies makes its detection more sensitive and convenient, including nanotechnology, Raman spectroscopy technology, microfluidic technology and biosensor technology. The development of these technologies has promoted the early diagnosis of hepatitis, but their clinic applications are still facing challenges. In the future, the development of hepatitis virus detection technology is expected to transform in the form of multidimensional and interdisciplinary innovation process, with its core objectives being the realization of more precise, convenient, and accessible detection methods, thereby comprehensively advancing the progress of hepatitis prevention and control efforts.

Alzheimer's disease(AD)is a preva-lent neurodegenerative disorder,characterized by the accumulation of beta-amyloid plaques,the phosphorylation of Tau proteins,and neuronal loss.As the global population ages,the incidence of AD is rising,and there is currently no effective cure.Herbal monomers have garnered interest due to their multifaceted pharmacological effects and low toxicity.This paper aims to provide a comprehen-sive overview of the mechanisms of Nrf2,NF-κB,PI3K/Akt,MAPK and other signalling pathways in the pathogenesis of AD.It also explores the modu-lation of these pathways by various TCM mono-mers,such as leptomeningine and tanshinone ⅡA,and details the research progress to date.For in-stance,Leptosine has been shown to activate Nrf2,thereby reducing oxidative stress,while Tanshinone ⅡA has been observed to inhibit the NF-κB path-way,leading to a reduction in inflammation.Not-withstanding the encouraging indications for the treatment of AD with TCM monomers,there are several challenges that must be addressed.Firstly,the precise mechanism of action remains to be ful-ly elucidated.Secondly,there are significant chal-lenges related to pharmacokinetics and bioavailabil-ity.Thirdly,the sample size of clinical studies is lim-ited and of variable quality.Fourthly,the quality control process is complex.Finally,interactions with other drugs must be taken into account.

Alzheimer's disease(AD)is a preva-lent neurodegenerative disorder,characterized by the accumulation of beta-amyloid plaques,the phosphorylation of Tau proteins,and neuronal loss.As the global population ages,the incidence of AD is rising,and there is currently no effective cure.Herbal monomers have garnered interest due to their multifaceted pharmacological effects and low toxicity.This paper aims to provide a comprehen-sive overview of the mechanisms of Nrf2,NF-κB,PI3K/Akt,MAPK and other signalling pathways in the pathogenesis of AD.It also explores the modu-lation of these pathways by various TCM mono-mers,such as leptomeningine and tanshinone ⅡA,and details the research progress to date.For in-stance,Leptosine has been shown to activate Nrf2,thereby reducing oxidative stress,while Tanshinone ⅡA has been observed to inhibit the NF-κB path-way,leading to a reduction in inflammation.Not-withstanding the encouraging indications for the treatment of AD with TCM monomers,there are several challenges that must be addressed.Firstly,the precise mechanism of action remains to be ful-ly elucidated.Secondly,there are significant chal-lenges related to pharmacokinetics and bioavailabil-ity.Thirdly,the sample size of clinical studies is lim-ited and of variable quality.Fourthly,the quality control process is complex.Finally,interactions with other drugs must be taken into account.

In the context of comprehensively advancing the Healthy China initiative,the high-quality development of public hospitals must be guided by the core principle of"people's health".It provides a systematic analysis of the historical evolution of developmental paradigms in Chinese public hospitals.By integrating the current policy requirements for their high-quality development,it proposes key pathways including the innovation of development concepts,the reconstruction of hospital connotations,the extension of service management,the optimization of the system structure,and the empowerment of digital and intelligent technologies.Through empirical case studies that demonstrate the viability of these pathways,it aims to provide theoretical support and practical reference for the high-quality development of public hospitals centered on people's health.

Hepatitis virus is the main pathogen causing liver inflammation and damage. Early detection is crucial for the effective treatment of hepatitis. The detection technology of hepatitis virus has gone through multiple stages, including immunological detection technology and nucleic acid detection technology. The emergence of emerging molecular detection technologies makes its detection more sensitive and convenient, including nanotechnology, Raman spectroscopy technology, microfluidic technology and biosensor technology. The development of these technologies has promoted the early diagnosis of hepatitis, but their clinic applications are still facing challenges. In the future, the development of hepatitis virus detection technology is expected to transform in the form of multidimensional and interdisciplinary innovation process, with its core objectives being the realization of more precise, convenient, and accessible detection methods, thereby comprehensively advancing the progress of hepatitis prevention and control efforts.

Objective To calculate the leakage rate of the automated watering system in Tsinghua University Laboratory Animal Resources Center, to evaluate the safety of the system, and provide references for selection, maintenance, and management of automated watering systems in animal facilities.MethodsThis study investigated the automated watering system installed in South and North Barriers of Tsinghua University Laboratory Animal Resources Center (Phase II). Water leakage monitoring was conducted over two periods, one over a period of 3 years and the other over 1.5 years. The occurrence of water leakage events at the two barriers during the monitoring period was statistically analyzed, classifying the causes into four categories: mishandling by personnel, animal behavior, obstruction by foreign objects, and deformation of fittings. The total daily leakage rate due to these causes and the daily leakage rate caused by quality issues, i.e. obstruction by foreign objects and deformation of fittings were calculated. Further analysis and discussion focused on the causes of water leakage and its impact on the facilities. At the same time, the number of caretakers at the end of the monitoring period in the Phase I facility without automated watering system and the Phase II facility with automated watering system were counted. Finally the difference in the number of cages per capita under the two watering systems was calculated.ResultsA total of 52 water leakage incidents occurred in both areas during the monitoring period, with a total daily leakage rate of 0.000 13%. Among them, 31 were caused by personnel mishandling, accounting for approximately 60% of total leakages. Enhanced training, supervision, inspection, and effective reminder measures could reduce leakage caused by personnel mishandling. There were 2 cases of water leakages caused by animal behavior, 0 leakage due to obstruction by foreign objects, and 19 leakages due to system quality issues, with a daily leakage rate of 0.000 07%. According to the operation data of Tsinghua University Laboratory Animal Resources Center, the average number of cages managed per person in facilities equipped with the automated watering system was 908, compared to 570 cages in facilities without the automated watering system. This represents an approximate 59% increase in the number of cages managed per person with the adoption of the automated watering system.Conclusion The daily leakage rate of the automated watering system in the Tsinghua University Laboratory Animal Resources Center is significantly lower than the theoretical design rate of 0.003%, which demonstrates the system's safety and effectiveness. Additionally, the adoption of an automated watering system can significantly enhance caretaking efficiency. While initial investments in the system are required, the subsequent increase in efficiency leads to a continuous decrease in labor costs, thereby reducing the total operational expenses of the facility. In the context of modernizing animal facility construction, automated watering systems are becoming an essential consideration in facility design and operation.

Objective:To investigate the prognostic value of albumin (ALB), aspartate aminotransferase/alanine aminotransferase ratio (AST/ALT) in patients with acute liver failure (ALF) in hyperacute phase of sepsis which provided the basis for clinical evaluation and prognostic judgment and corresponding treatment options.Methods:A multicenter retrospective cohort study was conducted. Patients with ALF in hyperacute phase of sepsis admitted to Zhoupu Hospital Affiliated to Shanghai Health College, Shanghai Pudong New Area People's Hospital, and Shanghai Oriental Hospital from January 2019 to February 2024 were enrolled. General data such as gender and age of the patients were collected. Lactate dehydrogenase (LDH), liver function indexes [total bilirubin (TBIL), direct bilirubin (DBIL), AST, ALT, AST/ALT, ALB, total protein (TP), globulin (GLB), ALB/GLB ratio (A/G), blood amine, γ-glutamyl transpeptidase (γ-GT)], platelet count (PLT), creatinine, activated partial thromboplastin time (APTT), severity of illness scores [acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), sequential organ failure assessment (SOFA)], serum procalcitonin (PCT), N-terminal pro-brain natriuretic peptide (NT-proBNP), arterial blood lactic acid (Lac) within 24 hours after admission, and whether to use mechanical ventilation, whether to use vasoactive drugs, whether to use artificial liver treatment and prognosis during hospitalization also were collected. The differences of clinical data between patients with different prognosis were compared. The variables with statistically significant differences in univariate analysis were included in multivariate Logistic regression analysis to determine the independent risk factors for death of patients with ALF in hyperacute phase of sepsis during hospitalization. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of ALB and AST/ALT for death of patients with ALF in hyperacute phase of sepsis during hospitalization.Results:A total of 73 patients with ALF in hyperacute phase of sepsis were included, with 22 survived and 51 died during hospitalization and the mortality of 69.86%. Compared with the survival group, the patients in the death group had lower ALB, γ-GT within 24 hours after admission and proportion of artificial liver treatment, and higher AST/ALT, SOFA score, LDH and proportion of use of vasoactive drugs. The differences were statistically significant. Multivariate Logistic regression analysis showed that ALB and AST/ALT were the independent risk factors for death in patients with ALF in hyperacute phase of sepsis during hospitalization [ALB: odds ratio ( OR) = 0.856, 95% confidence interval (95% CI) was 0.736-0.996, P = 0.044; AST/ALT: OR = 2.018, 95% CI was 1.137-3.580, P = 0.016]. ROC curve analysis showed that the area under the curve (AUC) of ALB for predicting in-hospital death in patients with ALF in hyperacute phase of sepsis was 0.760 (95% CI was 0.637-0.884, P < 0.001). When ALB ≤ 29.05 g/L, the sensitivity was 68.2%, and the specificity was 76.5%. The AUC of AST/ALT for predicting in-hospital death in patients with ALF in hyperacute phase of sepsis was 0.764 (95% CI was 0.639-0.888, P < 0.001). When AST/ALT ≥ 1.26, the sensitivity was 59.1%, and the specificity was 90.2%. Conclusions:The lower the ALB level, and the higher the AST/ALT within 24 hours after admission, the worse the prognosis of patients with ALF in hyperacute phase of sepsis. ALB and AST/ALT can be used as clinical indicators to evaluate the severity and prognosis of patients with ALF in hyperacute phase of sepsis.