日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Risk factor identification and nomogram-based predictive model development for recurrence of pituitary adenomas following transsphenoidal surgery: a dual-center retrospective study

经蝶窦手术后垂体腺瘤复发风险因素识别及基于列线图的预测模型构建:一项双中心回顾性研究

Yang, Xingjian; Yang, Wenxian; Hou, Pengwei; Chen, Yuyang; Li, Jun; Zhong, Jiansheng; Wang, Shousen; Chen, Hongjie

Comparative efficacy of short-term spinal cord stimulation and pulsed radiofrequency in zoster-associated pain: a stratified database study

短期脊髓刺激与脉冲射频治疗带状疱疹相关疼痛的疗效比较:一项分层数据库研究

Lu, Fan; Li, Jun; Zhong, Jiwei; Li, Xuehan; Song, Li; Ye, Ling; Xiao, Hong

Pathogen distribution and antibiotic sensitivity analysis in urosepsis associated with urinary stones: A retrospective observational study

尿路结石相关尿脓毒症的病原体分布及抗生素敏感性分析:一项回顾性观察研究

Hu, Yudong; Wang, Xiaofeng; Chen, Yujie; Li, Jun; Zhong, Yong; Zhu, Faming; Yuan, Ye; Ye, Jin; Yang, Fan

Angong Niuhuang Wan ameliorates LPS-induced cerebrovascular edema by inhibiting blood‒brain barrier leakage and promoting the membrane expression of AQP4

安宫牛黄丸通过抑制血脑屏障渗漏和促进AQP4膜表达改善LPS诱导的脑血管水肿

Bo-Tong Liu, Quan Li, Kai Sun, Chun-Shui Pan, Xin-Mei Huo, Ping Huang, Li Yan, Qi-Hua He, Li-Jun Zhong, Yuan Wang, Meng-Lei Hu, An-Qing Li, Ying-Qian Jiao, Shuang Zhang, Xiao-Yi Wang, Jian Liu, Jing-Yan Han

Interpretable machine learning model based on the systemic inflammation response index and ultrasound features can predict central lymph node metastasis in cN0T1-T2 papillary thyroid carcinoma

基于全身炎症反应指数和超声特征的可解释机器学习模型可以预测cN0T1-T2期乳头状甲状腺癌的中央淋巴结转移

Pang, Jin; Yang, Mohan; Li, Jun; Zhong, Xiaoxiao; Shen, Xiangyu; Chen, Ting; Qian, Liyuan

Ectopic Pituitary Neuroendocrine Tumor: A Case Report Written With the Help of ChatGPT

异位垂体神经内分泌肿瘤:一例借助 ChatGPT 撰写的病例报告

Li, Jun; Zhong, Jiansheng; Li, Ziqi; Xiao, Yong; Wang, Shousen

Targeting ASIC1a Promotes Neural Progenitor Cell Migration and Neurogenesis in Ischemic Stroke

靶向 ASIC1a 可促进缺血性中风中的神经祖细胞迁移和神经发生

Hongfei Ge, Tengyuan Zhou, Chao Zhang, Yupeng Cun, Weixiang Chen, Yang Yang, Qian Zhang, Huanhuan Li, Jun Zhong, Xuyang Zhang, Hua Feng, Rong Hu

Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study

利用智能手机采集的前节图像进行前房深度深度学习预测:概念验证研究

Qian, Chaoxu; Jiang, Yixing; Soh, Zhi Da; Sakthi Selvam, Ganesan; Xiao, Shuyuan; Tham, Yih-Chung; Xu, Xinxing; Liu, Yong; Li, Jun; Zhong, Hua; Cheng, Ching-Yu

Associations of outdoor activity and screen time with adiposity: findings from rural Chinese adolescents with relatively low adiposity risks

户外活动和屏幕时间与肥胖的关系:来自肥胖风险相对较低的中国农村青少年的研究结果

Zhang, Youjie; Zhang, Xiaofan; Li, Jun; Zhong, Hua; Pan, Chen-Wei

Iris surface features and anterior chamber depth in Chinese adolescents

中国青少年虹膜表面特征和前房深度

Pan, Chen-Wei; Qian, Yu-Xi; Li, Jun; Zhong, Hua