Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.

Abstract

Authors

• Lovedeep S Dhingra
  Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
• Arya Aminorroaya
  Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
• Veer Sangha
  Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
• Aline F Pedroso
  Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
• Folkert W Asselbergs
• Luisa C C Brant
  Faculdade de Medicina, Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
• Sandhi M Barreto
  Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
• Antonio Luiz P Ribeiro
  Hospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 190 - sala 533/Universidade Federal de Minas Gerais (UFMG), Belo Horizonte - MG, Brazil. Electronic address: tom@hc.ufmg.br.
• Harlan M Krumholz
  Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
• Evangelos K Oikonomou
  Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, UK.
• Rohan Khera
  Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

Keywords

External Resources