Successful prediction of left bundle branch block-induced cardiomyopathy and treatment effect by artificial intelligence-enabled electrocardiogram.

Rahul DhawanMohamed OmerCaitlin CarpenterM P H Paul A FriedmanXiaoke Liu

Published in: Pacing and clinical electrophysiology : PACE (2024)

Artificial intelligence-enabled ECGS may help identify patients who are at risk of developing LBBB-induced cardiomyopathy and predict the response to LBBA pacing.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
high glucose
diabetic rats
heart failure
end stage renal disease
newly diagnosed
ejection fraction
prognostic factors
oxidative stress
patient reported outcomes
left ventricular
cardiac resynchronization therapy
smoking cessation
replacement therapy