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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
  • induced pluripotent stem cells
  • current status
  • artificial intelligence
  • machine learning
  • atrial fibrillation