Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.

Journal: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
PMID: 33287829

Abstract

BACKGROUND: Cardiovascular magnetic resonance (CMR) is part of the diagnostic work-up for cardiac amyloidosis (CA). Deep learning (DL) is an application of artificial intelligence that may allow to automatically analyze CMR findings and establish the likelihood of CA.

Authors

  • Nicola Martini
    Imaging Department, Fondazione Gabriele Monasterio, Massa, Italy.
  • Alberto Aimo
    Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
  • Andrea Barison
    Cardiology and Cardiovascular Medicine, Fondazione Toscana Gabriele Monasterio, Pisa.
  • Daniele Della Latta
    Imaging Department, Fondazione Gabriele Monasterio, Massa, Italy.
  • Giuseppe Vergaro
    Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
  • Giovanni Donato Aquaro
    Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
  • Andrea Ripoli
    Imaging Department, Fondazione Gabriele Monasterio, Massa, Italy.
  • Michele Emdin
    Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Via Giuseppe Moruzzi, 1, 56124 Pisa, Italy.
  • Dante Chiappino
    Imaging Department, Fondazione Gabriele Monasterio, Massa, Italy.

Keywords

External Resources

Popular Topics
Recent Journals