For Perihilar cholangiocarcinoma (pCCA), surgical resection is the only effective way to cure this disease. However, it has high postoperative mortality and high recurrence rate. Domestic and foreign scholars have constructed statistics-based evaluation methods to predict patients′ postoperative survival and complications, such as nomogram, scoring system and other prognostic models. Based on these methods, clinicians can better select patients who can benefit from surgery and choose the optimal? treatment for more severe patients. Through the adoption of other treatments or some ways to ameliorate some preoperative condition, to improve the patient′s mortality and survival. This article reviews the prognostic risk factors and prognostic models of pCCA in order to provide a reference for clinicians to predict the prognosis about the surgery.

Objective To analyze the hot spots and trends of digital intelligence technology research in intensive care unit(ICU).Methods ICU digital intelligence technology related literature collected in Web of Science core database,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP Chinese Journal Service Platform were searched,and the retrieval period is from the establishment of the database to December 12,2023,and visualized analysis was performed by CiteSpace software.Results 700 Chinese literatures and 1705 English literatures were included.Conclusion A total of 18 clusters were formed in Chinese literature,including smart phones,data mining,ventricular premature beats,sepsis,etc.A total of 17 clusters were formed in English literature,including deep learning,expert systems,natural language processing,physiological characteristics,etc.Among them,risk prediction model and clinical decision support are the trends of future research.Conclusion By broadening the scope of diseases and populations,joint artificial intelligence research and development of wearable devices and intelligent detection cloud systems,robots,etc.,is the development trend of the future application field of ICU digital intelligence technology.

To address the problems of the low accuracy of pathological classification caused by the large size of pathological data and the high cost of labeling,a pathological classification algorithm for oral cancer is designed based on multi-instance network and two-level attention module,which takes losses at the instance level and image block level into account.A retrospective analysis is conducted on 186 cases of oral cancer(126 cases of squamous cell carcinoma and 60 cases of adenocarcinoma)in the Department of Oral and Maxillofacial Surgery,the First Affiliated Hospital of Wannan Medical College,and the digital pathological sections are divided into training set,verification set and test set.The foreground and background segmentations are performed on the pathological image,and the noise is removed from the background.ResNet50 is used to extract features from the segmented pathological images,and the features are input into the first-level attention network to obtain the attention score and loss based on image block.Then,the image blocks are sorted according to the attention score,and the reset labels are input into the second-level attention network to obtain the loss based on the instance level.The loss of the two-level attention is taken as the total loss of the model,and the prediction result is obtained by training the final network.The experimental results show that the multi-instance network using two-level attention achieves an accuracy of 78.95%and AUC of 0.8430,demonstrating superior performance than the baseline models.

AIM: To investigate and analyze the current situation and needs of clinical research nurses in China, in order to provide scientific basis for constructing a training system for research nurses, promoting standardized training, and achieving standardized management for them. METHODS:A self-made questionnaire was used to investigate 102 research nurses from nearly 70 well-known clinical trial institutions in China. The contents of the questionnaire mainly included the general information, professional experience and work content of the research nurses, the sense of accomplishment and training needs of clinical trial work. RESULTS: Among the 102 research nurses surveyed, 92.15% have a bachelor's degree or above; 53.92% of those have intermediate or higher professional titles; 74.51% of them are part-time research nurse. Among professional experiences, 19.61% have more than 10 years of clinical trial experience; 47.06%, 40.20%, and 21.17% of surveyed research nurses were authorized to participate in clinical trial drug management, sample management, and quality control; 70.59% of research nurses have a high sense of achievement in their daily work. In terms of education and training needs, clinical trial related laws and regulations, standardized training for clinical trial protocol implementation, and good clinical practice (GCP) are the three most important aspects. CONCLUSION: Clinical research nurses in China have a relatively high level of education and nursing experience, but there is still a large gap in the amount of professional full-time clinical research nurses in China. Due to the rapid development of innovative drugs and devices, as well as the urgent need to improve the clinical research system, it is necessary to establish a training, assessment, and evaluation system for research nurses that is in line with China's national conditions in order to improve the professional level of research nurses, and improve the quantity and quality of clinical trial research on innovative drugs and devices in China.

ObjectiveTo present the exploration and application of a prospective follow-up research method for acute infectious disease surveillance based on natural community populations， using COVID-19 infection as an example， and to provide a reference for improving the infectious disease surveillance and early warning system. MethodsA multi-stage probability proportional sampling method was employed to sample residents from all communities of 16 administrative districts in Shanghai， with households as the units. A cohort for acute infectious diseases based on natural community populations was established. The baseline survey was conducted for all cohort subjects， and COVID-19 antigen test kits were distributed. From December 21， 2022 to September 30， 2023， prospective follow-up monitoring of COVID-19 antigen and nucleic acid was carried out on the study subjects on a weekly basis. The baseline characteristics and follow-up information of the cohort subjects were described. ResultsThe cohort for acute infectious diseases included a total of 12 881 subjects， comprising 6 098 males （47.3%） and 6 783 females （52.7%）. The baseline survey revealed that 35.2% （4 540/12 881） of the subjects had a history of COVID-19 infection. During the follow-up period from December 21， 2022 to September 30， 2023， the average incidence density in the cohort was 0.61/person-year， with a higher incidence density in females （0.63/person-year） compared to males （0.59/person-year）. Individuals aged 60 and above （0.64/person-year） and those with underlying health conditions （0.67/person-year） had a higher incidence density. Healthcare workers showed a notably higher incidence density （0.84/person-year） than that in other occupational groups. As of September 30， 2023， a total of 340 subjects in the cohort experienced secondary infections， with a median interval of 170 days between the first and second infections. ConclusionThis study applies cohort study method to acute infectious disease surveillance， providing crucial data support for estimating infection rates and forecasting alerts for acute infectious diseases in the community. This method can be promoted and applied as a new approach for acute infectious disease surveillance.

Objective To analyzes the current status and hot spots of nursing of adverse drug reactions in chemotherapy for cancer patients,and provides reference for future research.Methods Literature related to the nursing of chemotherapy adverse drug reactions in cancer patients from 2018 to 2022 was retrieved from CNKI,Wanfang and VIP databases,and statistical analysis was conducted using bibliometrics.CiteSpace information visualization software was used to describe and analyze high-frequency keywords and to describe their graphs.Results A total of 1112 literatures were included,distributed in 256 domestic journals,and 537 literatures were co-authored,with a co-authored rate of 48.29％.Gastrointestinal reaction,cancer-induced fatigue,traditional Chinese medicine nursing,evidence-based nursing,negative emotion are the hot issues in this field.Conclusion The future nursing intervention for adverse reactions of cancer patients should adopt evidence-based nursing method to develop intervention programs.The research in this field has the problems of small sample size and single institution.It is suggested that the cooperation between authors and institutions should be strengthened in the future research,so as to build a closer cooperation network and a stable cooperation group.To construct nursing intervention plan and effect evaluation criteria suitable for nursing of adverse reactions of chemotherapy drugs in cancer patients.To ensure the safety of the intervention process,we should actively carry out multidisciplinary collaboration.

AIM:To investigate and analyze the current situation and needs of clinical research nurses in China,in order to provide scientific basis for constructing a training system for research nurs-es,promoting standardized training,and achieving standardized management for them.METHODS:A self-made questionnaire was used to investigate 102 research nurses from nearly 70 well-known clinical trial institutions in China.The contents of the questionnaire mainly included the general infor-mation,professional experience and work content of the research nurses,the sense of accomplish-ment and training needs of clinical trial work.RE-SULTS:Among the 102 research nurses surveyed,92.15％have a bachelor's degree or above;53.92％of those have intermediate or higher professional titles;74.51％of them are part-time research nurse.Among professional experiences,19.61％have more than 10 years of clinical trial experience;47.06％,40.20％,and 21.17％of surveyed research nurses were authorized to participate in clinical tri-al drug management,sample management,and quality control;70.59％of research nurses have a high sense of achievement in their daily work.In terms of education and training needs,clinical trial related laws and regulations,standardized training for clinical trial protocol implementation,and good clinical practice(GCP)are the three most important aspects.CONCLUSION:Clinical research nurses in China have a relatively high level of education and nursing experience,but there is still a large gap in the amount of professional full-time clinical re-search nurses in China.Due to the rapid develop-ment of innovative drugs and devices,as well as the urgent need to improve the clinical research system,it is necessary to establish a training,as-sessment,and evaluation system for research nurs-es that is in line with China's national conditions in order to improve the professional level of research nurses,and improve the quantity and quality of clinical trial research on innovative drugs and devic-es in China.

Objective To build a comprehensive evaluation system for the operating benefit of clinical departments in cancer hospitals,so as to provide data support for the fine operation management of hospitals.Methods Literature review and semi-structured interview were used to form the index pool.Two rounds of Delphi expert consultation were used to determine the index of the evaluation system,and the analytic hierarchy process was used to determine the index weight.Finally,the weighted TOPSIS was used for empirical case analysis.Results The positive coefficient in the two rounds of Delphi expert consultation were 82.6％and 100％,the authority coefficient was 0.808,and the coordination coefficient was between 0 and 1.All indexes at all levels passed the consistency test.Finally,a comprehensive evaluation system consisting of 4 dimensions,19 indexes in surgery,16 indicators in radiotherapy and 16 indicators in internal medicine was constructed.Indicators at all levels were tested for consistency,resulting in the construction of a comprehensive evaluation system consisting of 4 dimensions,19 indicators for surgery and 16 indicators each for radiotherapy and internal medicine departments.Conclusion The comprehensive evaluation system of operating benefit of clinical departments in cancer hospitals can help hospitals and departments to find out the shortcomings of operation,build the path of operating benefit improvement,and realize the connotation improvement and high-quality development of hospitals.

Objective Based on the technology acceptance model,to explore the influence mechanism of technical support,perceived interactivity,perceived usefulness,perceived ease of use and perceived risk on medical staff's report intention on adverse events,and to provide path suggestions for improving medical staff's report intention adverse events.Methods The multi-stage sampling method was used to select 637 medical staffs of tertiary public hospitals in Hangzhou who used the information-based platform to report adverse events as the research respondents,and the self-developed scale of report intention on adverse events was used as the research tool,monofactor analysis were conducted by Wilcoxon rank-sum test,and the structural equation model was used to analyze the influence path of their report intention on adverse events.Results Perceived ease of use and perceived usefulness have positive effects on medical staff's report intention on adverse events(β=0.264,0.658;P＜0.001);Perceived risk negatively affected the medical staff's report intention on adverse events(β=-0.143,P＜0.001).The indirect effects of perceived usefulness and perceived ease of use on medical staff's report intention on adverse events are 0.538 and 0.205,respectively.Conclusion Perceived usefulness and perceived ease of use plays a mediating role in perceived interactivity and medical staff's report intention on adverse events.

AIM:To investigate and analyze the current situation and needs of clinical research nurses in China,in order to provide scientific basis for constructing a training system for research nurs-es,promoting standardized training,and achieving standardized management for them.METHODS:A self-made questionnaire was used to investigate 102 research nurses from nearly 70 well-known clinical trial institutions in China.The contents of the questionnaire mainly included the general infor-mation,professional experience and work content of the research nurses,the sense of accomplish-ment and training needs of clinical trial work.RE-SULTS:Among the 102 research nurses surveyed,92.15％have a bachelor's degree or above;53.92％of those have intermediate or higher professional titles;74.51％of them are part-time research nurse.Among professional experiences,19.61％have more than 10 years of clinical trial experience;47.06％,40.20％,and 21.17％of surveyed research nurses were authorized to participate in clinical tri-al drug management,sample management,and quality control;70.59％of research nurses have a high sense of achievement in their daily work.In terms of education and training needs,clinical trial related laws and regulations,standardized training for clinical trial protocol implementation,and good clinical practice(GCP)are the three most important aspects.CONCLUSION:Clinical research nurses in China have a relatively high level of education and nursing experience,but there is still a large gap in the amount of professional full-time clinical re-search nurses in China.Due to the rapid develop-ment of innovative drugs and devices,as well as the urgent need to improve the clinical research system,it is necessary to establish a training,as-sessment,and evaluation system for research nurs-es that is in line with China's national conditions in order to improve the professional level of research nurses,and improve the quantity and quality of clinical trial research on innovative drugs and devic-es in China.