Can Machine Learning Help Simplify the Measurement of Diastolic Function in Echocardiography?
JACC Cardiovasc Imaging
.
2021 Nov;14(11):2105-2106.
doi: 10.1016/j.jcmg.2021.06.007.
Epub 2021 Jul 14.
Author
Rima Arnaout
1
Affiliation
1
Department of Medicine, Division of Cardiology, Bakar Computational Health Sciences Institute, University of California-San Francisco, San Francisco, California, USA. Electronic address:
[email protected]
.
PMID:
34274276
PMCID:
PMC8570999
DOI:
10.1016/j.jcmg.2021.06.007
No abstract available
Keywords:
U-net; heart failure with preserved ejection fraction; machine learning.
Publication types
Editorial
Comment
MeSH terms
Diastole
Echocardiography*
Humans
Machine Learning*
Predictive Value of Tests
Grants and funding
R01 HL150394/HL/NHLBI NIH HHS/United States