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Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart

Medicine and Health

Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart

D. M. Popescu, J. K. Shade, et al.

This groundbreaking research, conducted by an expert team including Dan M. Popescu and Julie K. Shade from Johns Hopkins University, introduces a novel deep learning approach to predict patient-specific survival curves for ischemic heart disease. Utilizing advanced imaging and clinical data, this study demonstrates impressive accuracy in forecasting survival, potentially revolutionizing decision-making in arrhythmic death probabilities.

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