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

Author:

Attia Zachi I.1,Kapa Suraj1ORCID,Yao Xiaoxi23,Lopez‐Jimenez Francisco1,Mohan Tarun L.1,Pellikka Patricia A.1,Carter Rickey E.4,Shah Nilay D.23,Friedman Paul A.1ORCID,Noseworthy Peter A.13ORCID

Affiliation:

1. Department of Cardiovascular MedicineMayo ClinicRochester Minnesota

2. Department of Health Sciences Research, Division of Health Care Policy and ResearchMayo ClinicRochester Minnesota

3. Robert D. and Patricia E. Kern Center for the Science of Health Care DeliveryMayo ClinicRochester Minnesota

4. Division of Biomedical Statistics and Informatics, Health Sciences ResearchMayo Clinic College of MedicineJacksonville Florida

Publisher

Wiley

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Reference16 articles.

1. Screening for Asymptomatic Left Ventricular Dysfunction Using B-Type Natriuretic Peptide

2. Effect of carvedilol on outcome after myocardial infarction in patients with left-ventricular dysfunction: the CAPRICORN randomised trial

3. Effect of Captopril on Mortality and Morbidity in Patients with Left Ventricular Dysfunction after Myocardial Infarction

4. 2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: The Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC). Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC);Priori SG;Eur Heart J

5. Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

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