Back to Search Start Over

More than meets the eye: Using AI to identify reduced heart function by electrocardiograms

Authors :
Evan D. Muse
Eric J. Topol
Source :
Med (New York, N.Y.). 2(7)
Publication Year :
2022

Abstract

Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardiology for diagnosing conduction system disease, arrhythmias, and heart attack. Now, using AI-assisted interpretation of ECGs, the signals within these studies are able to tell us so much more. In their recent randomized trial published in Nature Medicine, Yao and colleagues illustrate the power of utilizing AI-enabled ECGs to identify individuals with reduced heart function using a scalable, pragmatic approach.

Details

ISSN :
26666340
Volume :
2
Issue :
7
Database :
OpenAIRE
Journal :
Med (New York, N.Y.)
Accession number :
edsair.doi.dedup.....3f6dfb790e4e470be41fc31125b9d1d1