Login / Signup

Prediction of incident atrial fibrillation using deep learning, clinical models and polygenic scores.

Gilbert JabbourAlexis Nolin-LapalmeOlivier TastetDenis CorbinPaloma JordàAchille SowaJacques DelfrateDavid BusseuilJulie G HussinMarie-Pierre DubéJean-Claude TardifLéna RivardLaurent MacleJulia Cadrin-TourignyPaul KhairyRobert AvramRafik Tadros
Published in: European heart journal (2024)
ECG-AI provides an accurate tool to predict new-onset AF in a tertiary cardiac centre, surpassing clinical and polygenic scores.
Keyphrases
  • atrial fibrillation
  • deep learning
  • artificial intelligence
  • cardiovascular disease
  • left ventricular
  • type diabetes
  • left atrial appendage
  • acute coronary syndrome
  • convolutional neural network