Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms.

Journal: JAMA cardiology
Published Date:

Abstract

IMPORTANCE: Despite the availability of disease-modifying therapies, scalable strategies for heart failure (HF) risk stratification remain elusive. Portable devices capable of recording single-lead electrocardiograms (ECGs) may enable large-scale community-based risk assessment.

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.
  • Aline F Pedroso
    Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
  • Akshay Khunte
    Department of Computer Science, Yale University, New Haven, CT, 06511, United States.
  • Veer Sangha
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Daniel McIntyre
    Westmead Applied Research Centre, Faculty of Medicine and Health, the University of Sydney, Westmead, 2145, New South Wales, Australia.
  • Clara K Chow
    The University of Sydney, Sydney Medical School, Sydney, New South Wales, Australia.
  • 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.