Diabetic foot has become one of the heavy burdens of global public health problems. As a revolutionary emerging technology, artificial intelligence has the advantages of accuracy, intelligence and efficiency, which can make up for the shortcomings of traditional risk assessment, monitoring and management of diabetic foot. This paper reviews the application of artificial intelligence in risk prediction model of diabetic foot, wound image analysis, and intelligent wearable devices, analyzes the challenges and suggestions faced in technical barriers, data quality, and talent shortage, so as to provide a reference for the clinical practice of artificial intelligence in the field of diabetic foot.

This article provides an overview of metaverse medicine and summarizes the challenges faced by cancer patients, the applications and effects of metaverse medicine in this population, and the limitations and difficulties in clinical practice. These challenges include legal and ethical restrictions, as well as the need for further validation of clinical acceptability and feasibility. Researchers are encouraged to conduct extensive studies to refine the legal and regulatory frameworks, enhance the safety and adoption of metaverse medicine, and facilitate its localized development in cancer care.

This paper introduces the concept of natural language processing, summarizes the status quo and advantages of the application of natural language processing based on electronic health records in symptom management of cancer patients, points out the existing shortcomings, and puts forward corresponding suggestions, aiming to provide reference for further improving the quality of nursing services for cancer patients in China and promoting the informatization and digitization of hospice care.

Electronic Health Records (EHRs) are digital health tools that support comprehensive care and digital services. This paper provides an overview of EHRs, summarizes their current applications in palliative care, and proposes solutions to address issues in the use of EHRs in this field. The aim is to offer reference points for promoting the application of EHRs in palliative care in China.

The Death Cafe has promoted globally, breaking the silence and taboo surrounding death, allowing the public to freely discuss topics related to death and end-of-life, raising public awareness of death, and promoting public thinking and understanding of death. This paper reviews the overview of Death Cafe and its application in palliative care, in order to provide reference for the research and practice of palliative care in China.

Objective:To evaluate the influence of different teaching modes in the creativity of nursing students in China.Methods:A systematic search of PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database and VIP Database were carried out. Randomized control trials (RCTs) examining the influence of different teaching modes in the creativity of nursing students were included from inception to March 5, 2023. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies according to the Cochrane Handbook for Systematic Reviews of Interventions and combined with the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE), then network Meta-analysis with random effects was performed by using WinBugs 1.4.3 and Stata 17.0 software.Results:A total of 63 studies involving 22 teaching modes were included. The network Meta-analysis showed that Case-based Learning Mode, Evidence-based Nursing Teaching Mode, 3D Printing Model Teaching Mode, Hands-on Inquiry Based Learning, Quality Control Circle Teaching Mode, Six Thinking Hats Teaching Mode, Theory, Drill, Practice, Combine (TDPC, T:theory; D:drill; P:practice; C:combine) Teaching Mode were more effective than Lecture-based Learning Mode ( SMD values were 4.61-22.51, all P<0.05). Sensitivity analysis showed the effectiveness of TDPC Teaching Mode was the greatest in nursing theoretical teaching[surface under the cumulative ranking (SUCRA)=98.08%], the Quality Control Circle Teching Mode was the second most effective (SUCRA=83.13%). The effectiveness of Six Thinking Hats Teaching Mode was the greatest in nursing practical teaching (SUCRA=95.73%), followed by the 3D Printing Model Teching Mode (SUCRA=86.97%). Conclusions:TDPC Teaching Mode, Six Thinking Hats Teaching Mode, 3D Printing Model, Quality Control Circle Teaching Mode were superior to other teaching modes in improving creativity of nursing students.

Objective:To systematically evaluate qualitative studies on the perceptions and feelings of nursing staffs implementing neonatal palliative care, aiming to provide insights for advancing clinical practice in China.Methods:The databases including China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Literature Database, PubMed, CINAHL, Embase, Cochrane Library, Web of Science, and PsycINFO were included to retrieve the literature on the perceptions and feelings of nursing staffs from inception until March 28, 2024. The literature quality was assessed utilizing the Joanna Briggs Institute Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research (2016), and the findings were synthesized through Meta-integration techniques.Results:A total of 12 studies were included, yielding 46 themes were extracted; 8 categories were summarized and 3 synthesis results were obtained: nursing staffs experience both negative and positive aspects, the real-life challenges faced by nursing staffs in implementing neonatal palliative care, and the practical experiences and needs of nursing staffs regarding neonatal palliative care.Conclusions:It is crucial to continually address nursing staffs′ negative emotions and tackle challenges related to staffing, training, communication, and ethical dilemmas to ensure appropriate end-of-life symptom management in neonatal palliative care.

Objective To study the effect of IL-22 on the colonic barrier and its relationship with Nrf2 pathway in liver fibrosis mice.Methods The mice were divided into four groups:the control group(CON group),the model group(MOD group),the interleukin-22 group(IL-22 group),and the IL-22+ML385 group(ML385,an inhibitor of Nrf2),with 10 mice in each group,and the modeling cycle was 8 weeks.Liquid feed containing alcohol and carbon tetrachloride olive oil were given intraperitoneally in all groups except the CON group;IL-22 was given on top of this in the IL-22 group;and ML385 was injected intraperitoneally in the IL-22+ML385 group one hour before IL-22 treatment.At the end of modeling,the livers were stained with HE and Masson staining to clarify whether fibrosis occurred in the mice;the feces were collected to detect the cocci to bacillus ratio and observe the growth of intestinal flora;the colons were stained with HE staining,immunofluorescence and immunohistochemistry,and analyzed for the expression of tight junction proteins ZO-1,Occludin,and the Nrf2 pathway proteins(Nrf2,HO-1,and NQO1).The expression of these proteins was analyzed by immunohistochemistry.Results Compared with the CON group,mice in the MOD group showed significant fibrosis in the liver tissue,inflammatory cell infiltration in the colon tissue,and decreased expression of tight junction proteins(P<0.05).No overgrowth of various pathogenic bacteria was seen in fecal media.And there was no significant difference in the bulb-to-bar ratio.Compared with the MOD group,both liver and colon histopathologic damage were reduced in the IL-22 group,and tight junction protein expression was elevated,in addition,the expression levels of Nrf2,NQO1,and HO-1 were also elevated(P<0.05),whereas there was no significant change in the IL-22+ML385 group.Conclusion IL-22 improved the colonic barrier function in liver fibrosis mice,and the mechanism was related to the activation of Nrf2 anti-oxidative stress pathway.

Objective To observe the value of 18F-FDG PET/CT semi-quantitative parameters for predicting spread through air spaces(STAS)of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.Methods Data of 85 patients with clinical stage Ⅰa—Ⅲ a lung adenocarcinoma who underwent preoperative 18F-FDG PET/CT were retrospectively analyzed.The patients were divided into positive group(n=23)or negative group(n=62)according to whether pathology showed STAS or not.Clinical and PET/CT data were compared between groups,and logistic analysis was performed to explore the efficacy of each parameter for predicting STAS.Results Significant differences of gender,carcinoma embryonic antigen,clinical stage,pathological grade,micropapillary growth and proportion were found between groups(all P＜0.05).The maximum,the mean,the peak standard uptake value(SUVmax,SUVmean,SUVpeak),as well as the maximum,the mean and the peak standard uptake value normalized by lean body mass(SULmax,SULmean,SULpeak),also the total lesion glycolysis(TLG)in positive group were all significantly higher than those in negative group(all P＜0.05).Patients'gender,proportion of micropapillary growth,SUVmax and SULmax were all independent risk factors of STAS of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.The area under the curve(AUC)of the above parameters for predicting STAS was 0.666,0.912,0.839 and 0.842,respectively,and of the combination was 0.957.Conclusion 18 F-FDG PET/CT semi-quantitative parameters SUVmax and SULmax were helpful for predicting STAS of clinical stage Ⅰa—Ⅲ a lung adenocarcinoma,and further combination of gender and proportion of micropapillary growth could improve diagnostic efficacy.

Objective:To investigate the value of nomogram based on radiomics features of CT enterography (CTE) combined with clinical characteristics to predict secondary loss of response (SLOR) after infliximab (IFX) treatment in patients with Crohn′s disease (CD).Methods:This study was a case-control study. Clinical and imaging data of 155 patients with CD diagnosed at the First Affiliated Hospital of Anhui Medical University from March 2015 to July 2022 were retrospectively collected. The patients were divided into a training set ( n=108) and a testing set ( n=47) in the ratio of 7∶3 by stratified sampling method. All patients were treated according to the standardized protocol and were classified as SLOR (43 in the training set and 18 in the testing set) and non-SLOR (65 in the training set and 29 in the testing set) according to treatment outcome. Based on the data from the training group, independent clinical predictors of SLOR after IFX treatment were screened in the clinical data using univariate and multivariate logistic regression analysis to establish a clinical model. Intestinal phase images were selected to be outlined layer by layer along the margin of the lesion to obtain the volume of the region of interest to extract the radiomics features. The radiomics features were screened using univariate analysis and the minimum absolute shrinkage and selection operator to establish the radiomics model. Multivariate logistic regression analysis was used to build a combined clinical-radiomics model based on the screened clinical independent predictors and radiomics characters, then a nomogram was drawn. The predictive efficacy of the 3 models for SLOR after IFX treatment was assessed by receiver operating characteristic curves, and the area under the curve (AUC) was calculated. The decision curve analysis was applied to evaluate the clinical utility of the models. Results:Disease duration ( OR=1.983, 95% CI 1.966-2.000, P=0.046) and intestinal stenosis ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as the independent predictors of SLOR in the clinical data, and a clinical model was established. Totally 9 radiomics features were included in the radiomics model. The AUCs of clinical, radiomics, and combined models for predicting SLOR after IFX treatment in CD patients were 0.691 (95% CI 0.591-0.792), 0.896 (95% CI 0.836-0.955), and 0.910 (95% CI 0.855-0.965) in the training set, and 0.722 (95% CI 0.574-0.871), 0.866 (95% CI 0.764-0.968), and 0.889 (95% CI 0.796-0.982) in the testing set. Decision curve analysis in the testing set showed higher net clinical benefits for both the radiomics model and combined model than the clinical model, and combined model had higher net clinical benefits than the radiomics model over most threshold probability intervals. Conclusions:CTE-based radiomics model can effectively predict SLOR after IFX treatment in patients with CD, and a combined model by incorporating clinical characteristics of disease duration and intestinal stenosis can further improve the predictive efficacy.