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    Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis by Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L

    Published 2025-01-01
    “…Yanqi Kou,1,2,* Yuan Tian,2,3,* Yanping Ha,2,3,* Shijie Wang,1,* Xiaobai Sun,1 Shuxin Lv,1 Botao Luo,2,3 Yuping Yang,2 Ling Qin1 1Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People’s Republic of China; 2Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang City, Guangdong Province, People’s Republic of China; 3Department of Pathology, Guangdong Medical University, Zhanjiang City, Guangdong Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuping Yang, Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, No. 2 Wenming East Road, Xiashan, Zhanjiang, Guangdong, 524000, People’s Republic of China, Email yangyupingchn@163.com Ling Qin, Department of Hematology, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, 24 Jinghua Road, Jianxi District, Luoyang, Henan Province, 471003, People’s Republic of China, Email zzqq777@126.comBackground: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. …”
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    The Prediction Model of High-Frequency Ultrasound Combined with Artificial Intelligence-Assisted Scoring System Improved the Diagnosis of Sclerosing Adenosis and Early Breast Cance... by Ma B, Wu G, Zhu H, Liu Y, Hu W, Zhao J, Liu Y, Liu Q

    Published 2025-02-01
    “…Bingxin Ma,1 Gang Wu,1 Haohui Zhu,1 Yifei Liu,1 Wenjia Hu,1 Jing Zhao,1 Yinlong Liu,1 Qiuyu Liu2 1Department of Ultrasound, Henan Provincial People’s Hospital, Zhengzhou, 450000, People’s Republic of China; 2Department of Pathology, Henan Provincial People’s Hospital, Zhengzhou, 450000, People’s Republic of ChinaCorrespondence: Gang Wu, Email drwugang325@126.com; Haohui Zhu, Email zhh761126@163.comObjective: The study aimed to apply an artificial intelligence (AI)-assisted scoring system, and improve the diagnostic efficiency of Sclerosing adenosis and early breast cancer.Methods: This study retrospectively collected adenopathy patients (156 cases) and early breast cancer patients (150 cases) in Henan Provincial People’s Hospital from August 2020 to April 2023.Results: The area under the curve of the model constructed by clinical ultrasound features and combined AI features to predict and identify the two in the training group was 0.89 and 0.94, respectively. …”
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