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Peer-Reviewed Publication
J Am Soc Echocardiogr2023;36(4):411-420.April 1, 2023Journal Article

Automated Detection of Aortic Stenosis Using Machine Learning.

Benjamin S Wessler1, Zhe Huang2, Gary M Long3, Stefano Pacifici4, Nishant Prashar4, Samuel Karmiy4, Roman A Sandler5, Joseph Z Sokol5, Daniel B Sokol5, Monica M Dehn6, Luisa Maslon6, Eileen Mai6, Ayan R Patel6, Michael C Hughes2
1CardioVascular Center, Tufts Medical Center, Boston, Massachusetts. Electronic address: bwessler@tuftsmedicalcenter.org.
2Department of Computer Science, Tufts University, Medford, Massachusetts.
3CVAI Solutions, Dorchester, Massachusetts.
4Department of Medicine, Tufts Medical Center, Boston, Massachusetts.
5iCardio.ai, Los Angeles, California.
6CardioVascular Center, Tufts Medical Center, Boston, Massachusetts.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Aortic stenosis (AS) is a degenerative valve condition that is underdiagnosed and undertreated. Detection of AS using limited two-dimensional echocardiography could enable screening and improve appropriate referral and treatment of this condition. The aim of this study was to develop methods for automated detection of AS from limited imaging data sets. METHODS: Convolutional neural ne…

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