PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 12, 2024Circulation62 citationsOpen Access

High-Throughput Deep Learning Detection of Mitral Regurgitation

View Full Paper
AVAmey VrudhulaGDGrant DuffyMVMiloš Vukadinovic

Key Points

Key points are not available for this paper at this time.

Abstract

Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography with Doppler imaging. This study presents the development and validation of a fully automated deep learning pipeline for identifying apical 4-chamber view videos with color Doppler echocardiography and detecting clinically significant (moderate or severe) MR from transthoracic echocardiograms.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Vrudhula et al. (2024) studied this question.

synapsesocial.com/papers/68e5c971b6db64358755fa3ehttps://doi.org/10.1161/circulationaha.124.069047
Ask AI
Helpful
Bookmark
Share
View Full Paper