Synopsis

Augmented intelligence and radiomics will play an important role in future cardiac MR. Techniques like machine learning or deep learning will influence all aspects of cardiac MR, from patient management and workflow over image acquisition and reconstruction up to image analysis and prognostic assessment. This presentation will focus on current applications of AI and radiomics in cardiac MR and address the limitations of these techniques before their integration into routine clinical practice becomes reality.