Improved diagnosis of arrhythmogenic right ventricular cardiomyopathy using electrocardiographic deep learning.

Abstract

Authors

• Richard T Carrick
  Division of Cardiology, Johns Hopkins University Department of Medicine, Baltimore, Maryland, USA.
• Eric D Carruth
  Department of Genomic Health, Geisinger Medical Center, Danville, Pennsylvania.
• Alessio Gasperetti
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Brittney Murray
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Crystal Tichnell
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Sean Gaine
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• James Sampognaro
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Steven A Muller
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Babken Asatryan
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Chris Haggerty
  Department of Biomedical Informatics Columbia University Irving Medical Center, New York, New York, USA; NewYork-Presbyterian Health System, New York, New York, USA.
• David Thiemann
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Hugh Calkins
  Alliance for Cardiovascular Diagnostic and Treatment Innovation (J.K.S., R.L.A., D.B., D.P., H.C., N.A.T.), Johns Hopkins University, Baltimore, MD.
• Cynthia A James
  Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland.
• Katherine C Wu
  Division of Cardiology, Johns Hopkins University Department of Medicine, Baltimore, Maryland, USA.

Keywords

External Resources