Login / Signup

Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment.

Lovedeep Singh DhingraArya AminorroayaAline Pedroso CamargosAkshay KhunteVeer SanghaDaniel McIntyreClara K ChowFolkert W AsselbergsLuisa Campos Caldeira BrantSandhi M BarretoAntonio Luiz P RibeiroHarlan M KrumholzEvangelos K OikonomouRohan Khera
Published in: medRxiv : the preprint server for health sciences (2024)
A noise-adapted AI model for single-lead ECG predicted the risk of new-onset HF, representing a scalable HF risk-stratification strategy for portable and wearable devices.
Keyphrases
  • artificial intelligence
  • heart failure
  • machine learning
  • big data
  • deep learning
  • acute heart failure
  • heart rate
  • left ventricular
  • air pollution
  • cardiac resynchronization therapy
  • atrial fibrillation
  • low cost