Work

Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network

Year: 2025

Type: article

Study design: Observational Study

Source: JACC. Clinical electrophysiology

DOI: 10.1016/j.jacep.2025.02.003

Authors: Joshua Mayourian, William G. La Cava, Sarah D. de Ferranti, Douglas Mah, Mark Alexander, Edward Walsh, John K. Triedman

Institutions: Boston Children's Hospital, Harvard 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: bronze

Funders: Thrasher Research Fund, National Institutes of Health, U.S. National Library of Medicine

Awards: Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records, G513283357, G9000207474

OpenAlex ID: W4408503696

FWCI: 8.139

Cites: 31

Cited by: 13

Related to: 10