Login / Signup

Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome.

Edi PriftiAhmad FallGiovanni E DavogusttoAlfredo Aram PuliniIsabelle DenjoyChristian Funck-BrentanoYasmin KhanAlexandre Durand-SalmonFabio BadiliniQuinn S WellsAntoine LeenhardtJean-Daniel ZuckerDan M RodenFabrice ExtramianaJoe-Elie Salem
Published in: European heart journal (2021)
CNN models applied to ECGs outperform QTc measurements to identify exposure to drugs altering the QT interval, congenital LQTS, and are greatest shortly after a diTdP episode.
Keyphrases
  • drug induced
  • liver injury
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • adverse drug
  • case report
  • congenital heart disease
  • machine learning