Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes-Reference-Cited by-同舟云学术

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Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes

Published:2024-08 Issue: Volume: Page:101179
ISSN:2772-963X
Container-title:JACC: Advances
language:en
Short-container-title:JACC: Advances

Author:

Naser Jwan A.^ORCID,Lee Eunjung^ORCID,Lopez-Jimenez Francisco,Noseworthy Peter A.,Latif Omar S.,Friedman Paul A.,Lin Grace,Oh Jae K.^ORCID,Scott Christopher G.,Pislaru Sorin V.,Attia Zachi I.^ORCID,Pellikka Patricia A.^ORCID

Publisher

Elsevier BV

Reference21 articles.

1. Global burden of heart failure: a comprehensive and updated review of epidemiology;Savarese;Cardiovasc Res,2023

2. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

3. National Trends in heart failure hospitalizations and Readmissions from 2010 to 2017;Agarwal;JAMA Cardiol,2021

4. Natural history of asymptomatic left ventricular systolic dysfunction in the community;Wang;Circulation,2003

5. 2022 AHA/ACC/HFSA guideline for the Management of heart failure: a report of the American College of Cardiology/American heart association Joint Committee on clinical practice guidelines;Heidenreich;Circulation,2022

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