Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)

Long, A., Haggerty, C. M., Finer, J., Hartzel, D., Jing, L., Keivani, A., Kelsey, C., Rocha, D., Ruhl, J., vanMaanen, D., Metser, G., Duffy, E., Mawson, T., Maurer, M., Einstein, A. J., Beecy, A., Kumaraiah, D., Homma, S., Liu, Q., … Poterucha, T. J. (2024). Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR). Circulation. https://doi.org/10.1161/circulationaha.124.068996
Authors:
Aaron Long
Christopher M Haggerty
Joshua Finer
Dustin Hartzel
Linyuan Jing
Azadeh Keivani
Christopher Kelsey
Daniel Rocha
Jeffrey Ruhl
David vanMaanen
Gil Metser
Eamon Duffy
Thomas Mawson
Mathew Maurer
Andrew J Einstein
Ashley Beecy
Deepa Kumaraiah
Shunichi Homma
Qi Liu
Vratika Agarwal
Mark Lebehn
Martin Leon
Rebecca Hahn
Pierre Elias
Timothy J Poterucha
Affiliated Authors:
Aaron Long
Christopher M Haggerty
Joshua Finer
Dustin Hartzel
Linyuan Jing
Azadeh Keivani
Christopher Kelsey
Daniel Rocha
Jeffrey Ruhl
David vanMaanen
Gil Metser
Eamon Duffy
Thomas Mawson
Mathew Maurer
Andrew J Einstein
Deepa Kumaraiah
Shunichi Homma
Qi Liu
Vratika Agarwal
Mark Lebehn
Martin Leon
Rebecca Hahn
Pierre Elias
Timothy J Poterucha
Columbia Affiliation:
Author Keywords:
artificial intelligence
deep learning
echocardiography
mitral valve insufficiency
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Publication Type:
Article
Unique ID:
10.1161/circulationaha.124.068996
PMID:
38881496
DOI:
10.1161/circulationaha.124.068996
Journal:
Circulation
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: