Left Atrial Strain in the Assessment of Diastolic Function in Heart Failure: A Machine Learning Approach.

Erberto Carluccio Matteo Cameli Andrea RossiFrank Lloyd DiniPaolo BiagioliAnna MengoniFrancesca JacoangeliGiulia Elena MandoliMaria Concetta PastoreCaterina MaffeisGiuseppe Ambrosio

Published in: Circulation. Cardiovascular imaging (2023)

Integrating PALS by machine learning algorithm in DD classification improves risk stratification over recommended current criteria, regardless of ejection fraction status. This proof of concept study needs further validation of the proposed algorithm to assess generalizability to other populations.

Keyphrases

machine learning
ejection fraction
left atrial
left ventricular
aortic stenosis
heart failure
atrial fibrillation
mitral valve
artificial intelligence
deep learning
big data
catheter ablation
cardiac resynchronization therapy
blood pressure
transcatheter aortic valve replacement
aortic valve
neural network