Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance

Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance

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. Methods 1.5 T CMR was p...

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Bibliografiska uppgifter
Huvudupphovsmän: Nicola Martini, Alberto Aimo, Andrea Barison, Daniele Della Latta, Giuseppe Vergaro, Giovanni Donato Aquaro, Andrea Ripoli, Michele Emdin, Dante Chiappino
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2020-12-01
Serie:Journal of Cardiovascular Magnetic Resonance
Ämnen:
Deep learning
Artificial intelligence
Diagnosis
Amyloidosis
Cardiovascular magnetic resonance
Länkar:https://doi.org/10.1186/s12968-020-00690-4

Internet

https://doi.org/10.1186/s12968-020-00690-4

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