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PET/CT artificial intelligence model ideal for predicting risk of future heart attack

By combining information from two advanced imaging techniques with clinical data, physicians can improve their prediction of heart attacks, according to research published in the January issue of The Journal of Nuclear Medicine. When assessed together in an artificial intelligence model, coronary 18F-NaF uptake on PET and quantitative coronary plaque characteristics on CT angiography were found to be complementary, strong predictors of heart attack risk in patients with established coronary artery disease, providing risk prediction superior to that of clinical data alone. Read More

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