Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease

Elias, P., Poterucha, T. J., Rajaram, V., Moller, L. M., Rodriguez, V., Bhave, S., Hahn, R. T., Tison, G., Abreau, S. A., Barrios, J., Torres, J. N., Hughes, J. W., Perez, M. V., Finer, J., Kodali, S., Khalique, O., Hamid, N., Schwartz, A., Homma, S., … Perotte, A. J. (2022). Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease. Journal of the American College of Cardiology, 80(6), 613–626. https://doi.org/10.1016/j.jacc.2022.05.029
Authors:
Pierre Elias
Timothy J Poterucha
Vijay Rajaram
Luca Matos Moller
Victor Rodriguez
Shreyas Bhave
Rebecca T Hahn
Geoffrey Tison
Sean A Abreau
Joshua Barrios
Jessica Nicole Torres
J Weston Hughes
Marco V Perez
Joshua Finer
Susheel Kodali
Omar Khalique
Nadira Hamid
Allan Schwartz
Shunichi Homma
Deepa Kumaraiah
David J Cohen
Mathew S Maurer
Andrew J Einstein
Tamim Nazif
Martin B Leon
Adler J Perotte
Affiliated Authors:
Pierre Elias
Timothy J Poterucha
Vijay Rajaram
Luca Matos Moller
Victor Rodriguez
Shreyas Bhave
Rebecca T Hahn
Joshua Finer
Susheel Kodali
Omar Khalique
Nadira Hamid
Allan Schwartz
Shunichi Homma
Deepa Kumaraiah
Mathew S Maurer
Andrew J Einstein
Tamim Nazif
Martin B Leon
Adler J Perotte
Author Keywords:
aortic regurgitation
aortic stenosis
artificial intelligence
deep learning
mitral regurgitation
valvular heart disease
Publication Type:
Article
Unique ID:
10.1016/j.jacc.2022.05.029
PMID:
Publication Date:
Data Source:
PubMed

Record Created: