Artificial intelligence in cardiovascular magnetic resonance imaging.

Journal: Radiologia
PMID:

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.

Authors

  • A Castellaccio
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain. Electronic address: antonio.castellaccio@gmail.com.
  • N Almeida Arostegui
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain.
  • M Palomo Jiménez
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain.
  • D Quiñones Tapia
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain.
  • M Bret Zurita
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain.
  • E Vañó Galván
    Servicio de Resonancia Magnética y TC, Hospital Universitario Nuestra Señora del Rosario, Madrid, Spain.