Abstract:Purpose: To create and evaluate the accuracy of an artificial intelligence platform capable of using only retinal fundus images to predict both an individual overall 10 year Cardiovascular Disease (CVD) risk and the relative contribution of the component risk factors that comprise this risk (CVD-AI). Methods: The UK Biobank and the US-based AREDS 1 datasets were obtained and used for this study. The UK Biobank data was used for training, validation and testing, while the AREDS 1 dataset was used as an external… Show more
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