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  1. No Access

    Article

    Machine learning to predict hemodynamically significant CAD based on traditional risk factors, coronary artery calcium and epicardial fat volume

    We sought to establish an explainable machine learning (ML) model to screen for hemodynamically significant coronary artery disease (CAD) based on traditional risk factors, coronary artery calcium (CAC) and ep...

    Wenji Yu MD, Le Yang MD, Feifei Zhang MD, Bao Liu MD… in Journal of Nuclear Cardiology (2023)

  2. No Access

    Article

    Left ventricular systolic dyssynchrony: a novel imaging marker for early assessment of myocardial damage in Chinese type 2 diabetes mellitus patients with normal left ventricular ejection fraction and normal myocardial perfusion

    Myocardial damage is the important cause of heart failure (HF) in type 2 diabetes mellitus (T2DM), which is difficult to early diagnose, especially in T2DM with normal left ventricular ejection fraction (LVEF)...

    Yufeng Wang MD, Wenji Yu MD, **aoyu Yang MD… in Journal of Nuclear Cardiology (2023)