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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)
Across multinational cohorts, a noise-adapted AI model with lead I ECGs as the sole input defined HF risk, representing a scalable portable and wearable device-based HF risk-stratification strategy.
Keyphrases
  • artificial intelligence
  • heart failure
  • machine learning
  • big data
  • deep learning
  • acute heart failure
  • blood pressure
  • air pollution
  • heart rate
  • low cost