Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.

Nicola MartiniAlberto AimoAndrea BarisonDaniele Della LattaGiuseppe VergaroGiovanni Donato AquaroAndrea RipoliMichele EmdinDante Chiappino

Published in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2020)

A DL approach evaluating LGE acquisitions displayed a similar diagnostic performance for CA to a ML-based approach, which simulates CMR reading by experienced operators.

Keyphrases

magnetic resonance
deep learning
left ventricular
working memory
artificial intelligence
convolutional neural network
contrast enhanced
multiple myeloma
machine learning
magnetic resonance imaging
computed tomography
atrial fibrillation