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    Development and Validation of the Systemic Inflammatory Response Index-Based Nomogram for Predicting Short-Term Adverse Events in Patients With Acute Uncomplicated Type B Aortic In... by Wang Y, Wu X, Wang Y, Zhang Z, Liu X, Sun D, Liu X, Zhou T, Wang X

    Published 2025-01-01
    “…Yasong Wang,1,2 Xuan Wu,2 Yue Wang,2 Zhiqiang Zhang,2 Xuanze Liu,2 Dongyuan Sun,2 Xue Liu,2 Tienan Zhou,2 Xiaozeng Wang2 1Graduate School of Dalian Medical University, Dalian Medical University, Dalian, 116044, People’s Republic of China; 2State Key Laboratory of Frigid Zone Cardiovascular Diseases, Cardiovascular Research Institute and Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, People’s Republic of ChinaCorrespondence: Xiaozeng Wang, Department of Cardiology, Institute of Cardiovascular Research, General Hospital of Northern Theater Command, Shenhe District, Shenyang, Liaoning, 110016, People’s Republic of China, Tel +86-24-28897241, Email wxiaozeng@163.comPurpose: This study aims to develop and validate a nomogram based on the Systemic Inflammatory Response Index (SIRI) to predict short-term aortic-related adverse events (ARAEs) in patients with acute uncomplicated Type B intramural hematoma (IMH).Patients and methods: We retrospectively analyzed 332 patients diagnosed with acute uncomplicated Type B IMH between April 2018 and April 2024. …”
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    Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. by Matthew Leming, Sudeshna Das, Hyungsoon Im

    Published 2023-01-01
    “…We trained MUCRAN using 17,076 clinical T1 Axial brain MRIs collected from Massachusetts General Hospital before 2019 and demonstrated that MUCRAN could successfully regress major confounding factors in the vast clinical dataset. …”
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