Work

Abstract 4143513: ECG-AI to Assist with the Classification of Low Ejection Fraction and Heart Failure with Preserved Ejection Fraction

Year: 2024

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.150.suppl_1.4143513

Authors: Ibrahim Karabayir, Robert Davis, M. Samie Tootooni, Lokesh Chinthala, Elsayed Soliman, John Jefferies, Tina Baykaner, Sanjiv Shah, Alain Bertoni, Dalane Kitzman, David Herrington, Oguz Akbilgic

Institutions: Wake Forest University Health Sciences, Wake Forest University, University of Tennessee Health Science Center, Loyola University Chicago, University of Memphis, Stanford University, Northwestern University

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404359664

Cites:

Cited by:

Related to: 10