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

Lovedeep Singh Dhingra Arya AminorroayaAline Pedroso CamargosAkshay KhunteVeer SanghaDaniel McIntyreClara K ChowFolkert W AsselbergsLuisa Campos Caldeira BrantSandhi M BarretoAntonio Luiz P RibeiroHarlan M Krumholz Evangelos K Oikonomou Rohan 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