Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-Regurgitation study

Long, A., Finer, J., Hartman, H., Hartzel, D., Jing, L., Kelsey, C., Rocha, D., Ruhl, J., vanMaanen, D., Elnabawi, Y., Metser, G., Duffy, E., Mawson, T., Tat, E., Haggerty, C. M., Maurer, M., Einstein, A. J., Beecy, A. N., Kumaraiah, D., … Poterucha, T. J. (2025). Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-Regurgitation study. European Heart Journal. https://doi.org/10.1093/eurheartj/ehaf248
Authors:
Aaron Long
Joshua Finer
Heidi Hartman
Dustin Hartzel
Linyuan Jing
Christopher Kelsey
Daniel Rocha
Jeffrey Ruhl
David vanMaanen
Youssef Elnabawi
Gil Metser
Eamon Duffy
Thomas Mawson
Emily Tat
Christopher M Haggerty
Mathew Maurer
Andrew J Einstein
Ashley N Beecy
Deepa Kumaraiah
Richard B Devereux
Shunichi Homma
Martin Leon
Rebecca T Hahn
Pierre Elias
Timothy J Poterucha
Affiliated Authors:
Aaron Long
Joshua Finer
Heidi Hartman
Dustin Hartzel
Linyuan Jing
Christopher Kelsey
Daniel Rocha
Jeffrey Ruhl
David vanMaanen
Youssef Elnabawi
Gil Metser
Eamon Duffy
Thomas Mawson
Emily Tat
Christopher M Haggerty
Mathew Maurer
Andrew J Einstein
Ashley N Beecy
Deepa Kumaraiah
Shunichi Homma
Martin Leon
Rebecca T Hahn
Pierre Elias
Timothy J Poterucha
Columbia Affiliation:
Author Keywords:
aortic regurgitation
artificial intelligence
deep learning
echocardiography
mitral regurgitation
tricuspid regurgitation
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Publication Type:
Article
Unique ID:
10.1093/eurheartj/ehaf248
PMID:
40156921
DOI:
10.1093/eurheartj/ehaf248
Journal:
European Heart Journal
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: