Login / Signup

Artificial intelligence-enhanced electrocardiogram for arrhythmogenic right ventricular cardiomyopathy detection.

Ikram U HaqKan LiuJohn R GiudicessiKonstantinos C SiontisSamuel J AsirvathamItzhak Zachi AttiaMichael J AckermanPaul A FriedmanAmmar M Killu
Published in: European heart journal. Digital health (2023)
Our study found that the model performed well in excluding ARVC and supports the concept that the AI ECG can serve as a biomarker for ARVC if a larger cohort were available for network training. A multicentre study including patients with ARVC from other centres would be the next step in refining, testing, and validating this algorithm.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • heart failure
  • heart rate
  • heart rate variability
  • label free
  • atrial fibrillation
  • virtual reality
  • neural network