Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence–Enabled ECGs

Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence–Enabled ECGs

Background Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respectively) in children can lead to intervention to reduce morbidity and death. Existing artificial intelligence algorithms can identify LVSD and RVSD in adults using a 12‐lead ECG; however, its efficacy i...

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Main Authors: Scott Anjewierden, Donnchadh O'Sullivan, Kathryn E. Mangold, Grace Greason, Itzhak Zachi Attia, Francisco Lopez‐Jimenez, Paul A. Friedman, Samuel J. Asirvatham, Jason Anderson, Benjamin W. Eidem, Jonathan N. Johnson, Shisheer Havangi Prakash, Talha Niaz, Malini Madhavan
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
artificial intelligence
ECG
heart failure
neural network
systolic dysfunction
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.035201
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https://www.ahajournals.org/doi/10.1161/JAHA.124.035201

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