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Impact of ECG Characteristics on the Performance of an Artificial Intelligence Enabled ECG for Predicting Left Ventricular Dysfunction.

作者信息

Perez-Downes Julio, Fitzgerald Patrick, Adedinsewo Demilade, Carter Rickey E, Noseworthy Peter A, Kusumoto Fred

机构信息

Department of Cardiovascular Diseases (J.P.-D., D.A., F.K.), Mayo Clinic, Jacksonville, FL.

Internal Medicine (P.F.), Mayo Clinic, Jacksonville, FL.

出版信息

Circ Arrhythm Electrophysiol. 2021 May;14(5):e009871. doi: 10.1161/CIRCEP.121.009871. Epub 2021 May 17.

DOI:10.1161/CIRCEP.121.009871

PMID:33993719

Abstract

摘要

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Impact of ECG Characteristics on the Performance of an Artificial Intelligence Enabled ECG for Predicting Left Ventricular Dysfunction.

作者信息

Perez-Downes Julio, Fitzgerald Patrick, Adedinsewo Demilade, Carter Rickey E, Noseworthy Peter A, Kusumoto Fred

机构信息

Department of Cardiovascular Diseases (J.P.-D., D.A., F.K.), Mayo Clinic, Jacksonville, FL.

Internal Medicine (P.F.), Mayo Clinic, Jacksonville, FL.

出版信息

Circ Arrhythm Electrophysiol. 2021 May;14(5):e009871. doi: 10.1161/CIRCEP.121.009871. Epub 2021 May 17.

DOI:10.1161/CIRCEP.121.009871

PMID:33993719

Abstract

摘要

相似文献

Impact of ECG Characteristics on the Performance of an Artificial Intelligence Enabled ECG for Predicting Left Ventricular Dysfunction.

Circ Arrhythm Electrophysiol. 2021 May;14(5):e009871. doi: 10.1161/CIRCEP.121.009871. Epub 2021 May 17.

Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.

Circ Arrhythm Electrophysiol. 2020 Aug;13(8):e008437. doi: 10.1161/CIRCEP.120.008437. Epub 2020 Aug 4.

Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

J Cardiovasc Electrophysiol. 2019 May;30(5):668-674. doi: 10.1111/jce.13889. Epub 2019 Mar 10.

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.

Mayo Clin Proc. 2020 Nov;95(11):2464-2466. doi: 10.1016/j.mayocp.2020.09.020. Epub 2020 Sep 19.

New Multiparametric Analysis of Cardiac Dyssynchrony: Machine Learning and Prediction of Response to CRT.

JACC Cardiovasc Imaging. 2019 Sep;12(9):1887-1888. doi: 10.1016/j.jcmg.2019.03.009. Epub 2019 Apr 17.

Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort.

PLoS Negl Trop Dis. 2021 Dec 6;15(12):e0009974. doi: 10.1371/journal.pntd.0009974. eCollection 2021 Dec.

Prognosis in myocardial infarction survivors with left ventricular dysfunction is predicted by electrocardiographic RR interval but not QT dispersion.

Int J Cardiol. 1999 Jan;68(1):83-93. doi: 10.1016/s0167-5273(98)00348-9.

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

Mayo Clin Proc. 2021 Oct;96(10):2576-2586. doi: 10.1016/j.mayocp.2021.02.029. Epub 2021 Jun 10.

Associations of Electrocardiographic Parameters with Left Ventricular Longitudinal Strain and Prognosis in Cardiac Light Chain Amyloidosis.

Sci Rep. 2019 May 23;9(1):7746. doi: 10.1038/s41598-019-44245-9.

Impact of heart rate on mechanical dyssynchrony and left ventricular contractility in patients with heart failure and normal QRS duration.

Eur J Heart Fail. 2007 Jun-Jul;9(6-7):637-43. doi: 10.1016/j.ejheart.2007.03.002. Epub 2007 Apr 27.

引用本文的文献

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Mayo Clin Proc Digit Health. 2025 Jul 4;3(3):100247. doi: 10.1016/j.mcpdig.2025.100247. eCollection 2025 Sep.

Artificial intelligence-based identification of left ventricular systolic dysfunction from 12-lead electrocardiograms: external validation and advanced application of an existing model.

Eur Heart J Digit Health. 2023 Dec 20;5(2):144-151. doi: 10.1093/ehjdh/ztad081. eCollection 2024 Mar.