Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem

Abstract Purpose of Review This review the literature aims to present potential applications radiomics in cardiovascular radiology and, particular, cardiac imaging. Recent Findings Radiomics and machine learning represent a technological innovation which may be used extract analyze quantitative features from medical images. They aid detecting hidden pattern data, possibly leading new insights pathophysiology different conditions. In recent literature, have been investigated for numerous proposed improve image acquisition reconstruction, anatomical structure automated segmentation or characterization cardiologic diseases. Summary The number is continuing rise, even though methodological implementation issues still limit their use daily practice. long term, they positive impact patient management.