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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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  11. 711

    Association of Estimated Glomerular Filtration Rate (eGFR) and High-Sensitivity C-Reactive Protein (Hs-CRP) with the Risk of New-Onset Atrial Fibrillation in Patients with Diabetes by Liu Y, Liu H, Sun D, Zheng Y, Tse G, Chen K, Qiu J, Wu S, Liu T

    Published 2025-01-01
    “…Ying Liu,1,* Hongmin Liu,1,2,* Dongkun Sun,1,* Yi Zheng,1 Gary Tse,1,3,4 Kangyin Chen,1 Jiuchun Qiu,1 Shouling Wu,2 Tong Liu1 1Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China; 2Department of Cardiology, Kailuan General Hospital, Tangshan, 063001, People’s Republic of China; 3School of Nursing and Health Sciences, Hong Kong Metropolitan University, Hong Kong, People’s Republic of China; 4Diabetes Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tong Liu, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, No. 23 Pingjiang Road, Hexi District, Tianjin, 300211, People’s Republic of China, Email liutong@tmu.edu.cn; liutongdoc@126.com Shouling Wu, Department of Cardiology, Kailuan General Hospital, Tangshan, 063001, People’s Republic of China, Email drwusl@163.comBackground: Both renal function decline and systemic inflammation may synergistically increase the risk of atrial fibrillation (AF). …”
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