Prediction of incident cardiovascular events using machine learning and CMR radiomics

ConclusionsRadiomics features may provide incremental predictive value over VRF and CMR indices in the prediction of incident CVDs.Key Points•Prediction of incident atrial fibrillation, heart failure, stroke, and myocardial infarction using machine learning techniques.•CMR radiomics, vascular risk factors, and standard CMR indices will be considered in the machine learning models.•The experiments show that radiomics features can provide incremental predictive value over VRF and CMR indices in the prediction of incident cardiovascular diseases.
Source: European Radiology - Category: Radiology Source Type: research