Showing 541 - 560 results of 602 for search '"Obstetrics"', query time: 0.08s Refine Results
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    Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning by Zhang ZL, Chen KJ, Chen H, Zhu MM, Gu JJ, Jiang LS, Zheng L, Zhou SG

    Published 2025-02-01
    “…Zhi-Lin Zhang,* Kang-Jia Chen,* Hui Chen,* Miao-Miao Zhu, Jing-Jing Gu, Li-Shuai Jiang, Lan Zheng, Shu-Guang Zhou Department of Gynecology and Obstetrics, Maternal and Child Medical Center of Anhui Medical University, The Fifth Affiliated Clinical College of Anhui Medical University, Anhui Women and Children’s Medical Center, Hefei, Anhui, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shu-Guang Zhou, Email zhoushuguang@ahmu.edu.cn; Lan Zheng, Email zhenglan2022@163.comBackground: Fear of childbirth (FOC) is a psychological state of fear and distress that pregnant women experience when they approach labor. …”
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    Artificial Intelligence–Powered Training Database for Clinical Thinking: App Development Study by Heng Wang, Danni Zheng, Mengying Wang, Hong Ji, Jiangli Han, Yan Wang, Ning Shen, Jie Qiao

    Published 2025-01-01
    “…More than 400 teaching cases covering 65 kinds of diseases were released for students to learn, and the subjects covered internal medicine, surgery, gynecology and obstetrics, and pediatrics. The difficulty of learning cases was divided into four levels in ascending order. …”
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    Construction and evaluation of a prognostic model for cervical cancer based on dynamic hematological and clinical features by Huangrong Ma, Lingyu Ma, Li Yang, Miaoying Cai, Yifu Wang, Yue Li, Chunyu Liang, Zhiyuan Xu

    Published 2025-02-01
    “…Methods The study analyzed patients with cervical cancer who underwent radical radiotherapy at The University of Hong Kong-Shenzhen Hospital between January 2015 and June 2022 and were staged as IB1 to IVA according to the International Federation of Gynecology and Obstetrics (FIGO) 2018 staging system. We identified predictive factors through univariate and multivariate cox regression analyses. …”
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    USC-Derived Small Extracellular Vesicles-Functionalized Scaffolds Promote Scarless Vaginal Defect Repair via Delivery of Decorin and DUSP3 Proteins by Xu Y, Li J, Qiu Y, Wu F, Xue Z, Liu B, Fan H, Zhou Y, Wu Q

    Published 2025-02-01
    “…Yiyun Xu,1,* Jie Li,1,* Yu Qiu,1 Fuyue Wu,2 Zhuowei Xue,1 Bin Liu,1 Hongjie Fan,1 Yuedi Zhou,1 Qingkai Wu1 1Department of Obstetrics and Gynecology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China; 2Organoid Regeneration Research Center, ReMed Regenerative Medicine Clinical Application Institute, Shanghai, 201114, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qingkai Wu; Yuedi Zhou, Email wuqingkai@sjtu.edu.cn; zhouyuedi@126.comBackground: Scar formation following large-area vaginal defects post-vaginoplasty is a major clinical challenge. …”
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    Scoping review of climate drivers on maternal health: current evidence and clinical implicationsAJOG Global Reports at a Glance by Claire Masters, MHP, Chuhan Wu, MS, Dara Gleeson, MPH, Michaela Serafica, RN, MSN, Jordan L. Thomas, PhD, Jeannette R. Ickovics, PhD

    Published 2025-02-01
    “…Results from this review should inform multilevel interventions to address adverse health effects of climate during pregnancy as well as practice advisories, protocols, checklists, and clinical guidelines in obstetrics.…”
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