Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective: To analyze the trajectories of blood pressure and body mass index (BMI) among primary and secondary school students aged 7-17 in Shunyi District of Beijing, and to explore the association between different growth trajectories and visual outcomes, so as to provide a scientific basis for the prevention and control of common diseases in children and adolescents. Methods: Health examination data (including vision, blood pressure and BMI) of primary and secondary school students in Shunyi District of Beijing from 2019 to 2023 were collected and analyzed. Group based trajectory modeling was used to classify the trajectories of BMI and blood pressure (systolic and diastolic) into distinct groups among students aged 7-17 years. The relationship between these trajectories and visual outcomes was examined using binary Logistic regression analysis. Results: The prevalence of screening myopia among students in Shunyi District was 57.2%, while the rate of moderate to severe visual impairment was 55.8%. Based on the latent growth model, the trajectories of systolic blood pressure, diastolic blood pressure, and BMI were divided into three groups:low growth trajectory, moderate growth trajectory and high maintenance trajectory. Logistic regression analysis revealed that, compared to the low growth trajectory group, the moderate growth and high maintenance trajectory groups for systolic blood pressure, diastolic blood pressure, and BMI were associated with an increased risk of screening myopia ( OR =1.14, 1.11; 1.07, 1.19 ; 1.06, 1.08, P <0.05). Similarly, the moderate growth and high maintenance trajectory groups for systolic blood pressure, diastolic blood pressure, and BMI were similarly associated with an increased risk of moderate to severe visual impairment ( OR = 1.12 , 1.12; 1.09, 1.17; 1.08, 1.11, P <0.05). Conclusions Moderate growth and high maintenance trajectories of blood pressure and BMI are associated with an increased risk of screening myopia and moderate to severe visual impairment among students. It is recommended to closely monitor changes in blood pressure and overweight/obesity trajectories in primary and secondary school students, conduct regular assessments, and actively prevent the development and progression of multimorbidity and comorbidity.

Objective To explore the efficacy of progressive exercise training based on the modified Medical Research Council dyspnea scale (mMRC) grading in respiratory rehabilitation for patients with chronic obstructive pulmonary disease (COPD) at a primary healthcare setting. Methods A total of 106 patients with COPD admitted to Zhuanqiao Community Health Service Center in Shanghai from Aug.1, 2022 to Jul. 30, 2024 were selected as research subjects. They were randomly divided into a study group and a control group in a 1∶1 ratio, with 53 patients in each group. The control group received conventional treatment, while the study group received conventional treatment combined with progressive exercise training. After 4 weeks of continuous treatment, the changes in the 6-minute walk test (6MWT), COPD assessment test (CAT) score, mMRC grading, Global Initiative for Chronic Obstructive Lung Disease (GOLD) grading and pulmonary function were compared between the two groups. Results Patients in both groups showed improvements in 6MWT distance, CAT score, mMRC grading, GOLD grading, and pulmonary function compared to baseline (P＜0.05). Moreover, the study group had better improvements in 6MWT distance, CAT score, mMRC grading, GOLD grading, and pulmonary function than the control group (P＜0.05). Conclusions Conventional treatment combined with progressive exercise training based on mMRC grading can enhance the effect of respiratory rehabilitation in patients with COPD, particularly in improving pulmonary function and exercise tolerance.

OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate and analyze the complex motion of the human body, and is widely used in human biomechanical research. Since OpenSim can analyze multi-dimensional motion data such as muscle strength, joint torque, and muscle synergistic activation during human movement, it can be used to study the biomechanical mechanism of musculoskeletal imbalance diseases and various treatment methods in TCM orthopedics, and has a broad application prospect in the field of TCM orthopedics. By the analysis of the basic characteristics, elements, analysis process, and application prospects of OpenSim, it is concluded that OpenSim musculoskeletal model has a large application space in the field of traditional Chinese medicine orthopedic, which is helpful to explain the pathogenesis and mechanism of diseases, and promote the precision diagnosis and treatment of orthopedics diseases;the application of OpenSim musculoskeletal model can solve the problem that the previous research paid attention to the bone malalignment and not enough attention to the tendon, and provide a new method for the research of orthopedic diseases. At present, there are still problems in the promotion and application of OpenSim, such as large equipment requirements and high operation threshold. Therefore, multidisciplinary cooperation, clinical research, and data sharing are the basic research strategies in this field.
Humans ; Biomechanical Phenomena ; Orthopedics ; Traumatology ; Software ; Medicine, Chinese Traditional ; Musculoskeletal System ; Models, Biological

OBJECTIVE: To investigate the expression of CD19/CD73 in chronic lymphocytic leukemia (CLL) and its correlation with clinical features. METHODS: The clinical data of 60 CLL patients and 40 healthy volunteers (control group) from January 2022 to November 2023 were retrospectively analyzed. The levels of CD19 and CD73 in peripheral blood of CLL patients were measured by flow cytometry. Kaplan-Meier method was used for survival analysis. RESULTS: The hemoglobin (Hb) and CD19/CD73 levels in CLL group were significantly lower than those in control group, while CD19, CD73 and β₂-MG were significantly higher (all P <0.001). According to ROC curve analysis, the AUC value of CD19/CD73 for CLL diagnosis was 0.980 (95%CI : 0.949-1.000, P <0.05), the specificity was 92.50%, and the sensitivity was 98.30%. The CD19/CD73 level of CLL patients with splenomegaly was significantly lower than those without splenomegaly (P <0.01). There was no significant correlation between CD19/CD73 and Hb in CLL patients ( r =0.056, P >0.05). CD19/CD73 was positively correlated with β₂-MG ( r =0.837, 95%CI : 0.740 2-0.899 6, P <0.01). According to the median value (12.84) of CD19/CD73, the patients were divided into high and low expression groups. Kaplan-Meier survival analysis showed that the overall survival rate and progression-free survival rate at 18^th month in the low expression group were 87.08% and 93.25%, while those in the high expression group were 96.41% and 99.90%, respectively (both P <0.05). CONCLUSION The level of CD19/CD73 is low in CLL patients, which can be used as an auxiliary index for clinical diagnosis of CLL. CD19/CD73 is closely related to splenomegaly in CLL patients. Low expression of CD19/CD73 predicts poor prognosis.
Humans ; Leukemia, Lymphocytic, Chronic, B-Cell/metabolism* ; 5'-Nucleotidase/metabolism* ; Antigens, CD19/metabolism* ; Retrospective Studies ; Male ; Female ; Prognosis ; Middle Aged ; Aged ; Adult ; GPI-Linked Proteins

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

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

Liver ischemia-reperfusion injury (LIRI) is a pathological process involving multiple injury factors and cell types, with different stages. Currently, protective drugs targeting a single condition are limited in efficacy, and interventions on immune cells will also be accompanied by a series of side effects. In the current bottleneck research stage, the multi-target and obvious clinical efficacy of Chinese medicine (CM) is expected to become a breakthrough point in the research and development of new drugs. In this review, we summarize the roles of reactive oxygen species (ROS) and reactive nitrogen species (RNS) in various stages of hepatic ischemia-reperfusion and on various types of cells. Combined with the current research progress in reducing ROS/RNS with CM, new therapies and mechanisms for the treatment of hepatic ischemia-reperfusion are discussed.
Reperfusion Injury/drug therapy* ; Reactive Oxygen Species/metabolism* ; Reactive Nitrogen Species/metabolism* ; Humans ; Liver/drug effects* ; Animals ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*