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 E-Mail IMAGE: Projections of all aligned chest CT scans show feasibility of slab-based quantification of calcium, resulting in an average image. For alignment, only translation, rotation, and scaling were allowed, resulting in. view more  Credit: Radiological Society of North America OAK BROOK, Ill. - A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging. Cardiovascular disease is the leading cause of mortality worldwide. It even outpaces lung cancer as the leading cause of death in heavy smokers.

United statesUniversity of texas southwestern medical centerNoord hollandSuhny abbaraNikolas lessmannUniversity medical center utrechtAmsterdam university medical centerImage sciences instituteUnited states preventive services task forceRadiological society of north america incNational lung screening trialLearning quantified calcium scoresAutomatic cardiovascular mortality predictionLung screening low doseCardiothoracic imagingTexas southwestern medical center