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sST2 Predicts Outcome in Chronic Heart Failure Beyond NT−proBNP and High-Sensitivity Troponin T Glucose-lowering Drugs or Strategies, Atherosclerotic Cardiovascular Events, and Heart Failure in People With or at Risk of Type 2 Diabetes: An Updated Systematic Review and Meta-Analysis of Randomised Cardiovascular Outcome Trials Aspirin in the primary and secondary prevention of vascular disease: collaborative meta-analysis of individual participant data from randomised trials Genetics and Causality of Triglyceride-Rich Lipoproteins in Atherosclerotic Cardiovascular Disease Potential protective mechanisms of green tea polyphenol EGCG against COVID-19 The Current State of Left Main Percutaneous Coronary Intervention The outcomes of intravascular ultrasound-guided drug-eluting stent implantation among patients with complex coronary lesions: a comprehensive meta-analysis of 15 clinical trials and 8,084 patients Radial Versus Femoral Access for Rotational Atherectomy: A UK Observational Study of 8622 Patients Effect of empagliflozin on exercise ability and symptoms in heart failure patients with reduced and preserved ejection fraction, with and without type 2 diabetes Limitations of Repeat Revascularization as an Outcome Measure
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Consensus17 April 2021

JOURNAL：Eur J Nucl Med Mol Imaging. Article Link

Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT

RHJA Slart, MC Williams, LE Juarez-Orozco et al. Keywords: artificial intelligenceapplications; multimodality cardiovascular imaging; SPECT/CT; PET/CT; cardiac CT

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