Machine Learning for Diastology and Heart Failure With Preserved Ejection Fraction: Hype or Hope?

J Am Soc Echocardiogr. 2022 Dec;35(12):1256-1258. doi: 10.1016/j.echo.2022.10.003. Epub 2022 Oct 29.

Authors

Carolyn S P Lam¹, Jennifer E Ho²

Affiliations

¹ National Heart Centre, Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore, Singapore; University Medical Centre Groningen, Groningen, The Netherlands.
² CardioVascular Institute and Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: jho@bidmc.harvard.edu.

PMID: 36471517
DOI: 10.1016/j.echo.2022.10.003

No abstract available

Publication types

Editorial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Heart Failure* / diagnosis
Humans
Machine Learning
Stroke Volume

Grants and funding