Artificial intelligence in cardiovascular magnetic resonance imaging

Abstract

Artificial intelligence is rapidly evolving and its possibilities are endless. Its primary applications in cardiac magnetic resonance imaging have focused on: image acquisition (in terms of acceleration and quality improvement); segmentation (in terms of saving time and reproducibility); tissue characterisation (including radiomic techniques and the non-contrast assessment of myocardial fibrosis); automatic diagnosis; and prognostic stratification. The aim of this article is to attempt to provide an overview of the current situation as preparation for the significant changes currently underway or imminent in the very near future.

Keywords: Aprendizaje automático; Aprendizaje profundo; Artificial intelligence; Cardiac magnetic resonance; Deep learning; Fibrosis; Gadolinio; Gadolinium; Inteligencia artificial; Machine learning; Resonancia magnética cardiaca.