Work

Artificial Intelligence–Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population

Year: 2021

Type: article

Study design: Observational Study

Source: Mayo Clinic Proceedings

DOI: 10.1016/j.mayocp.2021.02.029

Authors: Anthony H. Kashou, Jose R. Medina-Inojosa, Peter A. Noseworthy, Richard J. Rodeheffer, Francisco Lopez-Jimenez, Itzhak Zachi Attia, Suraj Kapa, Christopher G. Scott, Alexander T. Lee, Paul A. Friedman, Paul M. McKie

Institution: Mayo Clinic

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: green

Funders: National Institutes of Health, National Institute on Aging

Awards: Multimorbidity and Aging: Rochester Epidemiology Project, G6234750673, Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project

OpenAlex ID: W3167842829

FWCI: 3.799

Cites: 23

Cited by: 64

Related to: 10