Revival and Revision of Right Ventricular Assessment by Machine Learning

JACC Cardiovasc Imaging. 2022 May;15(5):780-782. doi: 10.1016/j.jcmg.2022.01.019.

Authors

David Ouyang¹, Susan Cheng²

Affiliations

¹ Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA. Electronic address: david.ouyang@cshs.org.
² Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.

No abstract available

Keywords: artificial intelligence; machine learning; right ventricle.

Publication types

Editorial
Research Support, N.I.H., Extramural
Comment

MeSH terms

Algorithms
Artificial Intelligence*
Heart Ventricles / diagnostic imaging
Humans
Machine Learning*
Predictive Value of Tests

Grants and funding

K99 HL157421/HL/NHLBI NIH HHS/United States