ARTIFICIAL INTELLIGENCE ENABLED ECG DETECTS SIGNIFICANT LEFT VENTRICULAR DYSFUNCTION IN SUBJECTS WITH DILATED CARDIOMYOPATHY

Sanskriti Shrivastava; Michal Shelly; Zachi I. Attia; Andrew N. Rosenbaum; Liwei Wang; Margaret M. Redfield; Francisco Lopez-Jimenez; Suraj Kapa; Kent R. Bailey; Paul A. Friedman; Naveen L. Pereira

doi:https://doi.org/10.1016/s0735-1097(20)31559-x

doi.org/10.1016/s0735-1097(20)31559-x

ARTIFICIAL INTELLIGENCE ENABLED ECG DETECTS SIGNIFICANT LEFT VENTRICULAR DYSFUNCTION IN SUBJECTS WITH DILATED CARDIOMYOPATHY

Sanskriti Shrivastava

5

,

Michal Shelly

2

,

..., Naveen L. Pereira

38

Journal of the American College of Cardiology24.00

Volume: 75, Issue: 11, Pages: 932 - 932

Published: Mar 1, 2020

Abstract

Dilated cardiomyopathy (DCM) can be inherited and guidelines recommend screening first-degree relatives. However, screening with echocardiography is limited due to availability and cost. Recently, artificial intelligence-enabled electrocardiography (AI-ECG) has shown promise in detecting...

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Paper Details

Title

ARTIFICIAL INTELLIGENCE ENABLED ECG DETECTS SIGNIFICANT LEFT VENTRICULAR DYSFUNCTION IN SUBJECTS WITH DILATED CARDIOMYOPATHY

DOI

doi.org/10.1016/s0735-1097(20)31559-x

Published Date

Mar 1, 2020

Journal

Journal of the American College of Cardiology

Volume

75

Issue

11

Pages

932 - 932

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