Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy

Zeinab Navidi1,2,3, Jesse Sun1, Raymond H Chan1

  • 1Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.

PLOS Digital Health
|February 22, 2023
PubMed
Summary

A new machine learning model accurately quantifies scar burden on cardiovascular magnetic resonance (CMR) images for hypertrophic cardiomyopathy (HCM) patients. This automated tool aids in risk stratification by providing precise scar quantification from late gadolinium enhancement (LGE) scans.