AIM: To observe the preliminary application of fully automatic feedback perimeter based on the eye gaze tracking technique in the college students and to verify its test performance.METHODS: Home computer, monitor and eye tracker were used to complete the new automatic feedback perimeter meter. Based on the two characteristic eye movements of fixation and pulsation, the abnormal visual field is determined by analyzing whether the participant perceives the visual target, line-of-sight scan path and the fixation towards the visual target. RESULTS: A total of 63 participants(119 eyes)were collected with valid eye movement data. The average time for all participants was 82.46±14.68 s, the average time for right eyes was 88.21±15.30 s, and average time for the left eyes was 76.42±11.29 s(P<0.05).CONCLUSION: The fully automatic feedback perimeter based on eye gaze tracking technique can realize automatic human-computer interaction, and the detection method is simple and easy, which shortens the time of perimetry and improves the experience of participants.

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*

The Healthy China 2030 Plan set the goal of reducing premature deaths from diabetes by 30% by 2030. However, there has been a lack of assessment of premature mortality for diabetes since the action plan was issued. This study used data from the Global Burden of Disease Study 2021, calculated the premature deaths for diabetes by sex, provinces, and subtypes from 1990 to 2021. We explored the temporal trend of premature mortality using the average annual percent change (AAPC) for different sexes, provinces, and subtypes from 1990 to 2021. Furthermore, we predicted premature mortality for diabetes through 2030 for China and its provinces according to the average annual change rate from 2010 to 2021. There was a first slow upward trend in premature mortality for diabetes from 0.5% in 1990 to 0.6% in 2004, and then a decline until 2021 with premature mortality of 0.4%. By 2030, only Fujian (30.3%) will achieve the desired level of reduction, with only seven provinces meeting the target for females and none for males. There is a large range in the degree of decline between inland and coastal regions, showing obvious geographic differences, and there should be a focus on balancing medical resources.
Humans ; China/epidemiology* ; Female ; Male ; Mortality, Premature/trends* ; Diabetes Mellitus/mortality* ; Goals ; Middle Aged ; Adult

Objective:To observe the effects of warm acupuncture on post-stroke cognitive impairment (PSCI) based on the theory of intestinal flora.Methods:A randomized controlled trial was conducted. 60 patients with PSCI in the Department of Acupuncture and Neurology of the First Affiliated Hospital of Xinjiang Medical University from October 2020 to June 2022 were selected as the observation objects, and were divided into 2 groups by random number table, with 30 cases in each group. On the basis of cognitive rehabilitation training, the treatment group was given warm acupuncture treatment, and the control group was given routine acupuncture treatment. 2 groups were treated for 4 weeks as 1 course, and a total of 4 courses were treated. Montreal cognitive assessment (MoCA) was used to assess patients' cognitive function before and after treatment, and mini-mental state examination (MMSE) was used to assess patients' intelligence level. The numbers of bifidobacteria and lactic acid bacteria in fecal samples were calculated, and plasma gamma-aminobutyric acid (GABA) levels were detected by ELISA to evaluate the clinical efficacy.Results:During the study, 1 case was lost in each of the two groups, and finally 29 cases were included in the curative effect statistics. The total effective rate was 79.3% (23/29) in the treatment group and 65.5% (19/29) in the control group, with statistical significance ( χ2=43.39， P<0.05). After treatment, MoCA score [(24.23±1.36) vs. (21.26±1.30), t=3.12] and MMSE score [(25.35±1.24) vs. (21.52±1.22), t=3.25] in the treatment group were higher than those in the control group ( P<0.05); Bifidobacterium [(9.20±1.25) LgCFU/g vs. (7.23±1.21) LgCFU/g, t=2.98], Lactic acid bacteria [(8.24±1.12) LgCFU/g vs. (6.25±1.22) LgCFU/g, t=2.92], and the level of GABA [(283.80±83.54) mmol/L vs. (264.76±61.38) mmol/L, t=10.54] were higher than those in the control group ( P<0.05 or P<0.01). Conclusion:Warm acupuncture and moxibustion can effectively regulate the number of intestinal beneficial bacteria in PSCI patients, increase the level of GABA, promote brain tissue repair and improve cognitive function.

Objective To investigate the risk factors of postoperative fecal contamination in children pa-tients with Hirschsprung's disease(HSCR),and to construct and evaluate the risk predictive model.Methods The clinical data in 377 children patients with HSCR in 3 class 3A hospitals in Guangxi from Janu-ary 2016 to June 2021were retrospectively analyzed by adopting the convenience sampling method.The pa-tients were divided into the modeling group(n=264)and testing model group(n=113)with a ratio of 7∶3.The risk factors of postoperative fecal soiling were analyzed by the single factor and multiple factors,and the risk predictive model was constructed.The receiver operating characteristic(ROC)curve was used to detect the discriminative ability of the model and the H-L test was used to determine the goodness of fit of the mod-el.The model was prospectively validated in 21 children patients with HSCR from August to December 2021.Results Among 377 children patients with HSCR,the fecal soiling occurred in 131 cases with a incidence rate of 34.75％.The constructed predictive model of fecal contamination risk after HSCR operation:logit(P)=-2.385+1.697 × special type of megacolon+0.929 × Soave+0.105 × length of bowel resection+2.065 × il-literate caregivers+0.808 × caregivers'implementation of postoperative diet+0.867 × postoperative defecation training by caregivers.The area under the curve(AUC)in the modeling group was 0.849,the Yoden index was 0.53,the optimal critical value of the model was 0.32,the sensitivity was 76.00％,and the specificity was 77.00％.The H-L test,X2=6.649,P=0.575.AUC of the testing model group was 0.736,the sensitivity was 81.25％,and the specificity was 78.46％.The prospective validation results showed that the sensitivity and specificity of the model were 66.67％and 100％respectively.Conclusion The constructed model has good i-dentification and predictive ability.

Objective To analyze the causes of acute intestinal obstruction after intracerebral hemorrhage,and the therapeutic effect of rectal dripping with Dachengqi decoction and Fusu agent on acute intestinal obstruction complicated with septic shock.Methods The clinical data of a patient with acute intestinal obstruction complicated with septic shock after intracerebral hemorrhage,who was admitted to the Hospital of Chengdu University of Traditional Chinese Medicine(TCM)on March 5,2022,were retrospectively analyzed.The study aimed to observe the effects of rectal dripping with TCM on the recovery of intestinal function and improvement of shock.Results The patient was a 52-year-old male who underwent"left temporal craniotomy intracranial decompression,craniocerebral hematoma removal,cerebrospinal fluid leak repair"on February 19,2022 due to cerebral hemorrhage.On the 7th day after operation,the patient had hiccups and abdominal distension,and after treatment,the patient developed fever,consciousness disorders,hypotension and other symptoms.Abdominal CT showed extensive intestinal fluid,gas and expansion.Hemodynamic monitoring indicated high discharge and low resistance,intra-abdominal pressure was 21 cmH2O(1 cmH2O≈0.098 kPa),and laboratory examination showed increased inflammatory indexes and abnormal biochemical indexes.The western medicine diagnosis was acute intestinal obstruction complicated with septic shock,and the symptomatic treatments such as organ support(lung,circulation,kidney),anti-infection,fluid resuscitation,analgesia and sedation were given.The TCM diagnosis was intestinal knot(yangming visceral substantive,sudden collapse of yang-qi),with treatment principles focusing on tongfu heat relief,wenshen qianyang,Dachengqi decoction and Fusu agent was added and reduced according to the syndrome differentiation,with medications administered rectally.After the use of TCM decoction,the patient's defecation volume increased significantly,the intra-abdominal pressure decreased to the normal range,abdominal distension was significantly reduced,and the shock was relieved.On the 17th day after the operation,the patient's symptoms improved,the respiratory cycle was stable,and the patient was successfully transferred out of intensive care unit(ICU).Conclusion The treatment of acute intestinal obstruction complicated with septic shock by rectal dripping with Dachengqi decoction and Fusu agent can quickly relieve the condition and promote the recovery of intestinal function.

Objective:To study the quality and stability of commercial ready-to-use tryptone soya agar(TSA)after storing at 2-25 ℃ for different storage duration under dark condition in order to discuss a determination method of validity period for medium.Methods:Three consecutive batches of ready-to-use TSA medium from two manufac-turers were selected and stored at 2-25 ℃ under dark conditions for 30,90 and 180 days,respectively.The appearance,pH,medium suitability and sterility of the medium were tested.Results:The results of appearance,pH,suitability and sterility of TSA medium from two manufacturers for each batch under different storage duration all met the requirements of the Chinese Pharmacopoeia 2020 Volume IV on the quality control of medium.Conclusion:The TSA medium from two manufacturers all met the requirements when stored for 180 days at 2-25 ℃ under dark condition,indicating that the validity period of TSA medium from two manufacturers can reach 180 days.

Objective:To analyze the status and influencing factors of empathy fatigue in hospice nurses based on ABC-X model (A: stressor event; B:resources available to a family; C: family sperceptions of the stressor; X: likelihood of crisis), so as to provide a reliable basis for developing comprehensive intervention strategies.Methods:A total of 325 nurses engaged in hospice care in China from April 2022 to June 2022 were selected by convenient sampling method. The influencing factors of empathy fatigue of hospice care nurses were analyzed by ABC-X model (working environment, resilience and coping style). The hospice care nurses were investigated by self-made general questionnaire, Chinese version of Empathy Fatigue Scale, Simplified Coping Style Questionnaire, Coping Style Resilience Scale and Nursing Work Environment Scale. The statistical analysis was performed by SPSS.26.0 statistical software.Results:There were 316 females and 9 males with age of (33.0 ± 7.9) years old. The total score of empathy fatigue in 325 hospice nurses was (91.16 ± 9.60) points, the scores of empathy satisfaction, ocupational burnout and secondary traumatic stress were (31.35 ± 6.01), (28.43 ± 5.86), (31.38 ± 5.76) points respectively. The scores of positive coping style, negative coping style, psychological resilience and nursing working environment were (37.46 ± 5.69), (21.28 ± 6.90), (89.84 ± 16.46), (117.13 ± 19.95) points respectively. The negative predictive factor for empathy satisfaction among nurses with the professional title of palliative care ( t=-4.22, P<0.05), and the positive predictive factors for simple coping strategies, psychological resilience, and nursing work environment ( t=4.52, 3.05, 9.03, all P<0.05), could explain 56.7% of the total variation. Psychological resilience, simplified coping strategies, nursing work environment were negative predictive factors for occupational burnout among hospice nurses ( t=-6.93, -3.54, -2.51, all P<0.05), while work nature was a positive predictive factor ( t=2.36, P<0.05), which could explain 49.4% of the total variation. Simplified coping strategies, psychological resilience, and nursing work environment were all negative predictors of secondary traumatic stress in hospice nurses ( t=-5.40, -3.25, -5.95, all P<0.05), which could explain 48.8% of the total variation. Conclusions:Based on the ABC-X model, it is found that the empathic fatigue of hospice nurses is mainly affected by the nursing work environment, mental resilience and coping styles. It is necessary for nursing managers to actively take measures to improve the working environment and coping styles of nurses, enhance their mental resilience and reduce their empathic fatigue.

Sjögren's syndrome （SS）， a disorder of immune system， is one of the dominant diseases treated by traditional Chinese medicine （TCM）. China Association of Chinese Medicine organized experts in the field of TCM and western medicine rheumatology and pharmacology to discuss the advantages and optimal regimens of TCM for the treatment of SS. The experts generally agreed on the low early diagnosis rate of SS and the lack of targeted therapeutic drugs. In addition， autoimmune abnormality is the key factor in the occurrence of SS and deficiency of both Qi and Yin is the core pathogenesis. SS has unique tongue manifestations， which is expected to allow for the early diagnosis and treatment with integrated traditional Chinese and western medicine. TCM has advantages in treating SS in terms of alleviating clinical symptoms and systemic involvement， individualized treatment， relieving sleep and mood disorders， preventing the occurrence in the early stage， and enhancing the effectiveness and reducing toxicity in the treatment by integrated TCM and western medicine. In general， TCM has advantages in different stages of SS. Internal and external use of TCM， acupuncture， and acupotome are all available options. The optimal regimens should be determined on the basis of pattern identification， stage of disease， and the advantages of TCM. Clinical characteristics and biomarkers of SS should be studied to classify patients， so as to design precision evidence-based TCM regimens for SS. On the basis of unique tongue manifestations of SS， models for early diagnosis and poor prognosis identification of SS should also be established to achieve early prevention and treatment and to improve the prognosis. In the future， we should vigorously carry out high-quality evidence-based medical research on the treatment of SS by TCM and integrated traditional Chinese and western medicine and develop relevant guidelines to optimize and standardize current diagnosis and treatment， thereby laying a basis for clarifying and explaining the advantages of TCM in treating SS.

Objective:To investigate the diagnostic values of human epididymis protein 4 (HE4), endothelial cell specific molecule-1 (ESM-1) and epidermal growth factor receptor (EGFR) for lung cancer.Methods:The clinical data of 90 patients with lung cancer and 50 patients with benign lung diseases diagnosed by the pathological examination in Tangshan People's Hospital from December 2019 to January 2021 were retrospectively analyzed, and 40 healthy physical examiners in the same period were selected as the controls. The serum HE4 levels were detected by electrochemiluminescence method. The serum ESM-1 and EGFR levels were tested by enzyme-linked immunosorbent assay. The differences in serum HE4, ESM-1 and EGFR levels between the three groups were compared; logistic regression analysis was used to screen out the effective indicators for the diagnosis of lung cancer and to construct a prediction model for the diagnosis of lung cancer. Using pathological diagnosis result as the gold standard, the receiver operating characteristic (ROC) curve was drawn, and the diagnostic efficacy of indicators for lung cancer was evaluated.Results:The levels of serum HE4 in lung cancer group, benign lung diseases group and healthy control group were 119.55 pmol/L (82.06 pmol/L, 189.00 pmol/L), 58.84 pmol/L (45.62 pmol/L, 69.41 pmol/L) and 42.67 pmol/L (37.09 pmol/L, 51.84 pmol/L), the levels of ESM-1 were 33.00 ng/ml (25.85 ng/ml, 47.40 ng/ml), 20.14 ng/ml (11.93 ng/ml, 28.90 ng/ml) and 15.39 ng/ml (11.84 ng/ml, 20.19 ng/ml), and the levels of EGFR were 46.60 pg/ml (37.45 pg/ml, 58.98 pg/ml), 32.77 pg/ml (26.27 pg/ml, 40.86 pg/ml) and 30.43 pg/ml (27.54 pg/ml, 35.75 pg/ml), and the differences in each indicator among the three groups were statistically significant (all P < 0.001). The levels of serum HE4, ESM-1 and EGFR in lung cancer group were higher than those in benign lung diseases group and healthy control group. In patients with lung cancer, logistic regression analysis was performed with HE4 (X 1), ESM-1 (X 2) and EGFR (X 3) as the independent variables and pathological diagnosis as the dependent variable, and a lung cancer prediction regression model was established: P = 0.171X 1+0.351X 2+0.184X 3-24.660. The accuracy of this model in predicting lung cancer could reach 98.5%, and serum HE4, ESM-1 and EGFR were risk factors for the occurrence of lung cancer (all P < 0.05). The area under ROC curve from high to low was HE4 (0.960), ESM-1 (0.942) and EGFR (0.859). The diagnostic sensitivity of serum HE4 63.67 pmol/L for lung cancer was 86.7%, and the specificity was 97.5%. Both serum HE4 ( r = 0.304, P = 0.004) and ESM-1 ( r = 0.416, P < 0.001) were correlated with EGFR. Conclusions:Serum HE4, ESM-1 and EGFR can be used as effective indicators for the diagnosis of lung cancer, and the prediction model established based on the three serum tumor markers is of good value for the diagnosis and prediction of lung cancer.