Background: This study explores Alzheimer's prediction through brain MRI images, utilizing Convolutional Neural Networks (CNNs) and Lime interpretability. Based on an extensive ADNI MRI dataset, we demonstrate promising results in predicting Alzheimer's disease. Local Interpretable Model Agnostic Explanations (LIME) shed light on decision-making processes, enhancing transparency.
View Article and Find Full Text PDFIntroduction: Persons with diabetes are at risk for developing a cardiomyopathy through several pathophysiological mechanisms independent of traditional risk factors for heart failure. Among those with diabetic cardiomyopathy (DbCM), the relationship between natriuretic peptides, cardiac structural abnormalities and functional capacity is largely unknown.
Methods: In this prespecified subgroup analysis of the Aldose Reductase Inhibition for Stabilization of Exercise Capacity in Heart Failure (ARISE-HF) trial, 685 participants with asymptomatic DbCM underwent baseline echocardiography data, laboratory investigations, and functional assessments.
Background: Patients with prior coronary artery bypass grafting (CABG) presenting with an acute coronary syndrome (ACS) have poor outcomes and the optimal treatment strategy for this population is unknown.
Methods: Using linked administrative databases, we examined patients with an ACS between 2008 and 2019, identifying patients with prior CABG. Patients were categorized by ACS presentation type and treatment strategy.
Background And Aims: In the COMPASS trial, low-dose rivaroxaban with aspirin improved cardiovascular outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). We aimed to assess the potential clinical implications of this therapy in a generalizable population.
Methods And Results: A retrospective cohort of adults with ASVCD was formed using healthcare administrative databases in Alberta, Canada (population 4.