Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study.

Stephane FournierDorina ThanouOrtal SenoufDavid MeierNicolas DayerFahrang AminfarDenise AubersonOmar RaitaPascal FrossardMattia PagnoniStéphane CookBernard De BruyneOlivier MullerEmmanuel AbbéStephane Fournier

Published in: Open heart (2023)

In this feasibility study, DL outperformed human visual assessment and established angiographic parameters in the prediction of FCLs. Larger studies are now required to confirm this finding.

Keyphrases

deep learning
endothelial cells
heart failure
left ventricular
current status
induced pluripotent stem cells
machine learning
convolutional neural network
case control
atrial fibrillation