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Artificial intelligence (AI) is spreading to every aspect of cardiac imaging, including study indication, protocol selection, image acquisition and reconstruction, data post-processing, analysis, quantification, and to the holy grail of medicine: patient-specific risk prediction and prognostication. Currently, many of these applications are making their way from the research domain to clinical practice. More than 300 AI-enabled devices have been Food and Drug Administration (FDA) approved in the combined radiology and cardiovascular domains, and this number is continuously growing. Among the many advantages of the use of AI are the possibilities to increase efficiency, reduce human error and reader variability, and to increase the accuracy of diagnosis and prognosis. Echocardiography, coronary computed tomography angiography (CCTA), and cardiac magnetic resonance imaging (CMR) imaging can significantly …