BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

With the rise of data-intensive research, data literacy has become a critical capability for improving scientific data quality and achieving artificial intelligence (AI) readiness. In the biomedical domain, data are characterized by high complexity and privacy sensitivity, calling for robust and systematic data management skills. This paper reviews current trends in scientific data governance and the evolving policy landscape, highlighting persistent challenges such as inconsistent standards, semantic misalignment, and limited awareness of compliance. These issues are largely rooted in the lack of structured training and practical support for researchers. In response, this study builds on existing data literacy frameworks and integrates the specific demands of biomedical research to propose a comprehensive, lifecycle-oriented data literacy competency model with an emphasis on ethics and regulatory awareness. Furthermore, it outlines a tiered training strategy tailored to different research stages-undergraduate, graduate, and professional, offering theoretical foundations and practical pathways for universities and research institutions to advance data literacy education.
Artificial Intelligence ; Humans ; Biomedical Research

OBJECTIVE: To explore the current research status and hotspots in the field of biomechanics of diabetic foot by bibliometric analysis methods. METHODS: Literatures related to biomechanics of diabetic foot published in the Web of Scienc Core Collection (WoSCC) from 1981 to 2024 were searched. CiteSpace software and R language bibliometrics plugin were used to conduct a visual analysis of annual publication volume of the literature, including publication volume of each country and region, the publication situation of authors and institutions, the citation situation of individual literature, and the co-occurrence network of keywords. RESULTS: Totally 996 literatures were included, and the number of published papers increased steadily. The United States (261 papers) and China (89 papers) were the top two countries in terms of the number of published papers. The mediating centrality of the United States was 0.94, and that of China was 0.01. Scholars such as Cavanagh and institutions like the Cleveland Clinic were at the core of research in this field. High-frequency keywords include plantar pressure (plantar pressure), diabetic foot (diabetic foot), ulceration (ulcer), etc. The research focuses on plantar pressure, ulcer formation and prevention, etc. CONCLUSION Biomechanical research on diabetic foot mainly focuses on the pressure distribution on the sole of the foot, callus formation, mechanical analysis of soft tissues on the sole of the foot, and the study of plantar decompression caused by Achilles tendon elongation. The research trend has gradually shifted from focusing on joint range of motion to gait and the design of braces and assistive devices, and has begun to pay attention to muscle strength, gait imbalance and proprioception abnormalities.
Humans ; Diabetic Foot/physiopathology* ; Biomechanical Phenomena ; Bibliometrics

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

The oxytocin receptor (OXTR) has garnered increasing attention for its role in regulating both mature behaviors and brain development. It has been established that OXTR mediates a range of effects that are region-specific or period-specific. However, the current studies of OXTR expression patterns in mice only provide limited help due to limitations in resolution. Therefore, our objective was to generate a comprehensive, high-resolution spatiotemporal expression map of Oxtr mRNA across the entire developing mouse brain. We applied RNAscope in situ hybridization to investigate the spatiotemporal expression pattern of Oxtr in the brains of male mice at six distinct postnatal developmental stages (P7, P14, P21, P28, P42, P56). We provide detailed descriptions of Oxtr expression patterns in key brain regions, including the cortex, basal forebrain, hippocampus, and amygdaloid complex, with a focus on the precise localization of Oxtr⁺ cells and the variance of expression between different neurons. Furthermore, we identified some neuronal populations with high Oxtr expression levels that have been little studied, including glutamatergic neurons in the ventral dentate gyrus, Vgat⁺Oxtr⁺ cells in the basal forebrain, and GABAergic neurons in layers 4/5 of the cortex. Our study provides a novel perspective for understanding the distribution of Oxtr and encourages further investigations into its functions.
Animals ; Receptors, Oxytocin/metabolism* ; Male ; Brain/growth & development* ; Mice ; Mice, Inbred C57BL ; Neurons/metabolism* ; Single-Cell Analysis ; Gene Expression Regulation, Developmental ; RNA, Messenger/metabolism* ; Animals, Newborn

Objective:To investigate the causal relationship between intestinal flora and benign biliary diseases by genome-wide Mendelian randomization.Methods:This is a retrospective observational study. The data from the genome-wide association study of the gut microbiota from 18 340 samples from the MiBioGen consortium were selected as the exposure group,and the data from the genome-wide association study of biliary tract diseases were obtained from the FinnGen consortium R8 as the outcome group. There were 1 491 cases of primary sclerosing cholangitis,32 894 cases of cholelithiasis,3 770 cases of acalculous cholecystitis,and 34 461 cases of cholecystitis. Single nucleotide polymorphisms were screened as instrumental variables,and the Mendelian randomization method was used to infer the causal relationship between exposures and outcomes. The inverse variance weighting method (IVW) was used as the main basis, supplemented by heterogeneity,pleiotropy and sensitivity tests.Results:Coprococcus 2 was associated with a reduced risk of cholelithiasis (IVW OR=0.88,95% CI:0.80 to 0.97, P=0.012) and cholecystitis (IVW OR=0.88,95% CI:0.80 to 0.97, P=0.011). Coprococcus 3 was associated with cholelithiasis (IVW OR=1.15,95% CI:1.02 to 1.30, P=0.019) and acalculous cholecystitis(IVW OR=1.48, 95% CI: 1.08 to 2.04, P=0.016) and cholecystitis (IVW OR=1.17, 95% CI: 1.02 to 1.33, P=0.020). Peptococcus was associated with an increased risk of cholelithiasis (IVW OR=1.08, 95% CI:1.02 to 1.13, P=0.005) and cholecystitis (IVW CI=1.07, 95% CI:1.02 to 1.13, P=0.010). Clostridiumsensustricto 1 was associated with an increased risk of cholelithiasis (IVW OR=1.16,95% CI:1.02 to 1.31, P=0.020) and cholecystitis (IVW OR=1.16, 95% CI:1.03 to 1.30, P=0.015). Eubacterium hallii was associated with an increased risk of primary sclerosing cholangitis (IVW OR=1.43, 95% CI: 1.03 to 1.99, P=0.033). Eubacterium ruminantium (IVW OR=0.87, 95% CI: 0.76 to 1.00, P=0.043) and Methanobrevibacter (IVW OR=0.81, 95% CI: 0.68 to 0.98, P=0.027) were associated with a reduced risk of acalculous cholecystitis. Conclusions:Eight intestinal bacterial genera maybe play pathogenic roles in benign biliary diseases. Eubacterium hallii can increase the risk of primary sclerosing cholangitis. Peptococcus and Clostridiumsensustricto 1 can increase the risk of cholelithiasis and generalized cholecystitis. Coprococcus 3 have multiple correlations with biliary stones and inflammation.

Objective:To investigate the causal relationship between intestinal flora and benign biliary diseases by genome-wide Mendelian randomization.Methods:This is a retrospective observational study. The data from the genome-wide association study of the gut microbiota from 18 340 samples from the MiBioGen consortium were selected as the exposure group,and the data from the genome-wide association study of biliary tract diseases were obtained from the FinnGen consortium R8 as the outcome group. There were 1 491 cases of primary sclerosing cholangitis,32 894 cases of cholelithiasis,3 770 cases of acalculous cholecystitis,and 34 461 cases of cholecystitis. Single nucleotide polymorphisms were screened as instrumental variables,and the Mendelian randomization method was used to infer the causal relationship between exposures and outcomes. The inverse variance weighting method (IVW) was used as the main basis, supplemented by heterogeneity,pleiotropy and sensitivity tests.Results:Coprococcus 2 was associated with a reduced risk of cholelithiasis (IVW OR=0.88,95% CI:0.80 to 0.97, P=0.012) and cholecystitis (IVW OR=0.88,95% CI:0.80 to 0.97, P=0.011). Coprococcus 3 was associated with cholelithiasis (IVW OR=1.15,95% CI:1.02 to 1.30, P=0.019) and acalculous cholecystitis(IVW OR=1.48, 95% CI: 1.08 to 2.04, P=0.016) and cholecystitis (IVW OR=1.17, 95% CI: 1.02 to 1.33, P=0.020). Peptococcus was associated with an increased risk of cholelithiasis (IVW OR=1.08, 95% CI:1.02 to 1.13, P=0.005) and cholecystitis (IVW CI=1.07, 95% CI:1.02 to 1.13, P=0.010). Clostridiumsensustricto 1 was associated with an increased risk of cholelithiasis (IVW OR=1.16,95% CI:1.02 to 1.31, P=0.020) and cholecystitis (IVW OR=1.16, 95% CI:1.03 to 1.30, P=0.015). Eubacterium hallii was associated with an increased risk of primary sclerosing cholangitis (IVW OR=1.43, 95% CI: 1.03 to 1.99, P=0.033). Eubacterium ruminantium (IVW OR=0.87, 95% CI: 0.76 to 1.00, P=0.043) and Methanobrevibacter (IVW OR=0.81, 95% CI: 0.68 to 0.98, P=0.027) were associated with a reduced risk of acalculous cholecystitis. Conclusions:Eight intestinal bacterial genera maybe play pathogenic roles in benign biliary diseases. Eubacterium hallii can increase the risk of primary sclerosing cholangitis. Peptococcus and Clostridiumsensustricto 1 can increase the risk of cholelithiasis and generalized cholecystitis. Coprococcus 3 have multiple correlations with biliary stones and inflammation.

Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

【Objective】 To establish a blood quality monitoring indicator system, in order to continuously improve blood quality and standardized management. 【Methods】 Based on the research of literature and standards, and guided by the key control points of blood collection and supply process, the blood quality monitoring indicator system was developed. Through two rounds of Delphi expert consultation, the indicator content was further revised and improved according to expert opinions after six months of trial implementation. The indicator weight was calculated by questionnaire and analytic hierarchy process. 【Results】 A blood quality monitoring indicator system covering the whole process of blood collection and supply was constructed, including five primary indicators, namely blood donation service, blood component preparation, blood testing, blood supply and quality control, as well as 72 secondary indicators, including definitions, calculation formulas, etc. Two rounds of expert consultation and two rounds of feasibility study meeting were held to revise 17 items and the weight of each indicator was obtained through the analytic hierarchy process. After partial adjustments, a blood quality monitoring indicator system was formed. 【Conclusion】 A blood quality monitoring indicator system covering the whole process of blood collection and supply has been established for the first time, which can effectively evaluate the quality management level of blood banks and coordinate blood quality control activities of blood banks in Shandong like pieces in a chess game, thus improving the standardized management level