1.Role of artificial intelligence in medical image analysis.
Lu WANG ; Shimin ZHANG ; Nan XU ; Qianqian HE ; Yuming ZHU ; Zhihui CHANG ; Yanan WU ; Huihan WANG ; Shouliang QI ; Lina ZHANG ; Yu SHI ; Xiujuan QU ; Xin ZHOU ; Jiangdian SONG
Chinese Medical Journal 2025;138(22):2879-2894
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
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Humans
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Image Processing, Computer-Assisted/methods*
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Neural Networks, Computer
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Deep Learning
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Diagnostic Imaging/methods*
2."Integrating theory and practice"facilitates the advancement of undergraduate students'scientific research thinking:based on the"genetic engineering"course
Xinjing GAO ; Jiao WANG ; Yujia LIU ; Chang FENG ; Yanan GUO ; Xiaolin GUO
Basic & Clinical Medicine 2025;45(10):1392-1395
In the current process of talent cultivation in biology majors,some challenges like teaching content that lags behind the forefront of scientific research,instructional models that deviate from the principles of effective knowledge transmission,and evaluation systems that lack dimensions reflecting scientific innovation.As a strategy of tackling challenges,the Genetic Engineering teaching team,drawing on theoretical analysis and extensive teaching practice,has explored a reform of the instructional model from the perspective of integrating theory with practice.This effort led to the development of a research-oriented teaching model characterized by four iterative stages:knowledge instruction,thinking exercises,practical operation,and feedback evaluation.This model is ground-ed in five core elements of scientific thinking:criticality,coherence,simplicity,logic,and integrity.Imple-mentation follows the four-step framework,emphasizing structured knowledge delivery,cultivation of analytical thinking,hands-on experimentation,and comprehensive feedback.After one semester of application,it was found that through reconstructed knowledge systems,immersive simulations of research contexts,realistic problem-solving of technical bottlenecks and all-round feedback,this teaching model effectively fosters scientific thinking among both instructors and students,significantly enhances students'scientific research ca-pabilities and improves overall teaching effectiveness.
3.Prognostic value of albumin and aspartate aminotransferase/alanine aminotransferase ratio in patients with acute liver failure in hyperacute phase of sepsis: a multicenter retrospective cohort study
Xiaozhou LI ; Qianqian YIN ; Guangkuo ZHAO ; Yanan HAI ; Zhiping SUN ; Yunli CHANG
Chinese Critical Care Medicine 2024;36(11):1121-1126
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.
4.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
5.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
6.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
7.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
8.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
9.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.
10.Construction of Performance Evaluation Index System for Public Hospitals Based on Performance Prism Model
Aide XU ; Jia LIU ; Yanan CHANG ; Liqi TIAN
Chinese Hospital Management 2024;44(10):38-42
Objective To construct the performance evaluation index system of public hospitals,and provide reference for promoting the high-quality development of public hospitals.Methods Delphi method and analytic hierarchy process were used to determine the performance evaluation index system of public hospitals based on performance prism model.Results It established a public hospital performance evaluation system including 5 first-level indicators,16 second-level indicators and 40 third-level indicators of government,staff,patients,suppliers and regulatory agencies.The weights of the five first-level indicators are 0.254 8,0.476 8,0.154 4,0.073 4 and 0.040 6,respectively.Among the 16 second-level indicators,salary,quality and safety,practice environment,medical quality and operation efficiency rank the top 5.The combined weights were 0.268 5,0.174 3,0.165 4,0.080 9 and 0.060 6,respectively.Among the 40 tertiary indicators,the satisfaction of medical staff,the quality control index of single disease,organizational support,the intensity of antibacterial drug use and the case mortality of the low-risk group were investigated.The combined weights were 0.212 0,0.110 0,0.107 0,0.064 3 and 0.0624,respectively.Conclusion The performance evaluation index system of public hospitals based on the performance prism model established is helpful to guide hospitals to think about hospital strategic reform,process optimization and capacity improvement from the multi-dimensional perspective of internal and external stakeholders,so as to improve development performance and promote social harmonious development,and to improve performance,promote high-quality development.

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