Objective:To compare the accuracy of a Chinese large language model (LLM) and radiologists in Chinese middle level professional qualification examination of radiology, and evaluate the quality of answer reasoning provided by the Chinese LLM.Methods:In this study, 100 high-quality questions were selected using stratified random sampling to form a test set. We asked the ERNIE Bot by dialogues on the website to provide the correct answers and answer reasoning for these questions. These questions were also answered by 15 radiologists with different levels of experience. The accuracy of Chinese LLM and that of radiologists were compared. Two radiologists evaluated the quality of answer reasoning using a 5-point semi-quantitative scale.Results:The accuracy of ERNIE Bot was 60.00%, which was lower than the median (interquartile) accuracy of 67.00% (64.00%, 73.00%) for radiologists, and the difference was statistically significant ( W=2.47, P=0.013). The word count of the reasoning provided by Ernie Bot was (196.44±99.25) words, with no significant difference in word count between correct and incorrect answer reasoning, which were (211.03±107.53) words and (174.55±81.84) words, respectively ( t=1.82, P=0.072). Among the correct answers, the quality of reasoning was scored as follows: 1 point for 3 questions, 2 points for 9 questions, 3 points for 12 questions, and 4 points for 36 questions. No reasoning received a score of 5. Conclusions:Chinese LLM demonstrates a certain level of medical knowledge and clinical reasoning ability, which can assist clinical teachers in educational activities. However, it is not yet able to independently tutor residents and lacks the ability of invitational and heuristic teaching.

Objective:To compare the accuracy of a Chinese large language model (LLM) and radiologists in Chinese middle level professional qualification examination of radiology, and evaluate the quality of answer reasoning provided by the Chinese LLM.Methods:In this study, 100 high-quality questions were selected using stratified random sampling to form a test set. We asked the ERNIE Bot by dialogues on the website to provide the correct answers and answer reasoning for these questions. These questions were also answered by 15 radiologists with different levels of experience. The accuracy of Chinese LLM and that of radiologists were compared. Two radiologists evaluated the quality of answer reasoning using a 5-point semi-quantitative scale.Results:The accuracy of ERNIE Bot was 60.00%, which was lower than the median (interquartile) accuracy of 67.00% (64.00%, 73.00%) for radiologists, and the difference was statistically significant ( W=2.47, P=0.013). The word count of the reasoning provided by Ernie Bot was (196.44±99.25) words, with no significant difference in word count between correct and incorrect answer reasoning, which were (211.03±107.53) words and (174.55±81.84) words, respectively ( t=1.82, P=0.072). Among the correct answers, the quality of reasoning was scored as follows: 1 point for 3 questions, 2 points for 9 questions, 3 points for 12 questions, and 4 points for 36 questions. No reasoning received a score of 5. Conclusions:Chinese LLM demonstrates a certain level of medical knowledge and clinical reasoning ability, which can assist clinical teachers in educational activities. However, it is not yet able to independently tutor residents and lacks the ability of invitational and heuristic teaching.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

This paper aims to discuss the ideas and experience about the radiology residency training system of Canada with a presentation of its base accreditation standards for five aspects, competency goals for seven roles, four stages of training arrangement, and two types of final assessment questions. Although the Canada's radiology residency program differs from China's standardized resident and specialist training programs for radiology, there are still several points that are worth referencing, including emphasizing the training priority of competency goals, providing a specific basis for the stratification of training, offering clear guidance for the implementation of training content, and improving assessment methods to focus on competency goals. These points are of great value for improving the standardized radiology resident and specialist training programs in China, so as to provide a reference for the training of excellent radiologists in China.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

Objective:To explore the views of adolescents with asthma on factors affecting disease self-management, so as to provide a basis for improving self-management of asthma children, and propose improvement suggestions.Methods:This study was a descriptive qualitative study. From February to June 2023, 10 to 17 year old children with asthma were recruited at the Asthma Clinic of the Children's Hospital affiliated to Capital Institute of Pediatrics through purposive sampling. One-on-one semi-structured interviews were conducted around self-management and its related factors, and the thematic analysis was used to analyse interview materials.Results:A total of 17 adolescents with asthma, aged (13.00±2.03) years, with a course of disease of (5.00±2.85) years, were included. The interview materials included two aspects, namely facilitators and barriers of self-management. The facilitators were coded into three themes and seven sub-themes, including the individual management awareness of children with asthma (sense of responsibility, compliance awareness), social support (parental care and compensation, teacher and classmate support, patient interaction), and health education (health guidance from doctors and nurses, school health propaganda). Barriers were encoded into three themes and six sub-themes, including disease cognition (demand competition, importance), social environment (interpersonal interaction, physical environment), and healthcare services (accessibility of medical services, school related medical resources) .Conclusions:The self-management of adolescents with asthma is affected by multiple factors. Individual management awareness, social support, and health education can promote self-management in children with asthma, while unfavorable factors in disease cognition, social environment, and healthcare services can hinder self-management in children with asthma. Medical and nursing staff should develop and implement empowerment plans for self-management of asthma children, by mobilizing multi-channel medical resources, providing multi-dimensional full process empowerment, and helping asthma children build a diverse interpersonal support network system, in order to promote effective health management transition for adolescents with asthma.

Objective:To explore the process and content of family management of asthma children and their caregivers, so as to provide basis for improving the health outcomes of asthma children.Methods:This study is qualitative research. From March to April 2022, 26 children and 26 main caregivers from the Asthma Clinic of the Children's Hospital affiliated to the Capital Institute of Pediatrics were selected by objective sampling for semi-structured interviews. QSR Nvivo 12 software and subject analysis method were used to analyze the data.Results:A total of 4 themes and 13 sub-themes were extracted, including the content on family management of asthma children (inducement prevention, drug management, disease monitoring), the family management style of asthma children (disease management concept, asthma management expectation, disease management life routine, disease essence understanding, disease management difficulty), and the family factors affecting the transition of family management of asthma children to self-management (promoting transition factors, obstructing transition factors), psychosocial state (numbness, optimism and stigma) .Conclusions:The family management of asthma children needs the intervention and support of professional nursing staff to improve the family management and the health outcomes of asthma children.

Objective:To analyze the current situation and trend of spinal cord injury rehabilitation nursing research in China, and to provide evidence for spinal cord injury rehabilitation nursing and related research.Methods:Using CNKI and Wanfang database as data sources, CiteSpace V software was used to visually analyze the literature published between January 1, 2000 and December 29, 2019.Results:A total of 2 329 literatures were included. The number of publications showed a rapid increase from 2016. Research mainly focuses on complications, neurogenic bladder, quality of life, rehabilitation training and so on.Conclusions:In China, the total number of articles published on rehabilitation nursing of spinal cord injury is low. The number of articles published by research authors is small, and the distribution of publishing institutions is uneven. The research hotspots are complications, neurogenic bladder, quality of life, rehabilitation training, etc. The following step is to strengthen the cooperation among spinal cord injury rehabilitation and nursing institutions in different regions and carry out multi-center, large-sample and interdisciplinary research. It is the trend of further research to carry out more in-depth and broader dimension research on rehabilitation nursing of spinal cord injury.

Objective To learn 2009~2014 Shaanxi Province sentinel surveillance six classes of HIV infection focus groups, and estimates of HIV-1 new infection.Methods Used enzyme-linked immunosorbent assay (ELISA)and Western blot (WB)experiments for the 2009~2014 HIV sentinel surveillance Shaanxi Province Category 6 focus groups conducted a total of 77 778 HIV antibody screening and confirmatory testing estimates of HIV-1 new infection.Results 2009~2014 men who had sex with men and people with HIV infection rate were 3.75%,8.77%,3.50%,5.00%,6.20% and 5.75%,and a slow upward trend;HIV-1 new infection were 5.04%,8.96%,5.01%,5.95%,4.68% and 6.39%,the overall downward trend. Young students,drug addicts,sex workers,pregnant women,and male STD clinic attenders five people with HIV infection and HIV-1 new infection were emerging to remain low.But male STD clinic attenders of HIV infection and HIV-1 new in-fection was emerging slowly rising trend.Conclusion Shaanxi MSM HIV infection and HIV-1 new infection were high,but HIV-1 new infection had decreased slowly.Emerging trend should continue to increase the population of the intervention ef-forts.The infection rate in other monitoring population was relatively low but a few people on the rise,the need to take the necessary coping methods.

OBJECTIVEThrough comparative study on pulmonary function damage of coke oven workers exposed to coke oven emissions with the same group before and after five years, and further explore the relationship between the coke oven emissions and injury in pulmonary function of coke oven worker.

METHODSSelect a coking plant in Shanxi 165 coke oven workers (exposed group) and 52 auxiliary workers (control group) for the study, using a uniform questionnaire to collect workers' personal information. Fixed workplace air samples collected periodically. Air samples of benzo (a) pyrene concentrations was measured by high pressure liquid chromatograph. Pulmonary function of research object was measured by portable spirometer respectively in 2009 and 2013, and comparative analysis on it.

RESULTSThe concentration of B(a)P was no significant difference in the same area between 5 years in 2009-2013. Compared with 2009, 2013 control workers lung function index and the abnormal rate had no significant difference (P > 0.05). But FVC%, FEV1.0%, MVV%, VC% and FEF25% of exposed workers in 2013 was significantly lower than in 2009, FVC%, FEV1.0%, VC% and FEF25% pulmonary dysfunction rate in 2013 was also significantly higher than in 2009, difference was statistically significant (P < 0.05). Workers emerging pulmonary function abnormalities mainly distributed in furnace roof and side. furnace roof group FVC%, FEV1.0%, VC% additional abnormal number (rate) was significantly higher than furnace floor and the control group (P < 0.05), and furnace side groop was significantly higher than the control group, the difference was statistically significant (P < 0.05). Multivariate Logistic regression analysis showed that after 5 years FVC%, FEV1% and VC% of abnormal lung function emerging adjusted OR of furnace roof workers were 7.939, 5.966 and 4.956. For abnormal of FVC%, FEV1%, VC% and MVV%, the contacting coke seniority is a risk factor. There is a positive interaction between contacting coke seniority and furnace roof (P < 0.05).

CONCLUSIONCoke oven workers lung function damage associated with exposureing to coke oven emissions, coke oven emissions exposure level and exposure time are the main factors of coke oven workers in lung function damage, there is a positive interaction between the two factors.

Air Pollutants, Occupational ; adverse effects ; analysis ; Benzo(a)pyrene ; adverse effects ; analysis ; Cohort Studies ; Coke ; Humans ; Lung ; drug effects ; physiopathology ; Occupational Exposure ; adverse effects ; Respiratory Function Tests ; Risk Factors ; Surveys and Questionnaires