An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period-Reference-Cited by-同舟云学术

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An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period

Published:2022-04 Issue: Volume:352 Page:72-77
ISSN:0167-5273
Container-title:International Journal of Cardiology
language:en
Short-container-title:International Journal of Cardiology

Author:

Lee Yeji,Choi Byungjin,Lee Min Sung,Jin Uram,Yoon Seokyoung,Jo Yong-Yeon,Kwon Joon-myoung

Funder

Korea Health Industry Development Institute

Ministry of Trade, Industry and Energy

Ministry of Health and Welfare

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference28 articles.

1. Pregnancy-related mortality in California: causes, characteristics, and improvement opportunities;Main;Obstet. Gynecol.,2015

2. Peripartum cardiomyopathy: national heart, lung, and blood institute and office of rare diseases (National Institutes of Health) workshop recommendations and review;Pearson;JAMA,2000

3. Frequency of peripartum cardiomyopathy;Mielniczuk;Am. J. Cardiol.,2006

4. Temporal trends in incidence and outcomes of peripartum cardiomyopathy in the United States: a nationwide population-based study;Kolte;J. Am. Heart Assoc.,2014

5. Five-year prospective study of the incidence and prognosis of peripartum cardiomyopathy at a single institution;Fett;Mayo Clin. Proc.,2005

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1. Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial;Nature Medicine;2024-09-02

2. Deep learning algorithm for predicting left ventricular systolic dysfunction in atrial fibrillation with rapid ventricular response;European Heart Journal - Digital Health;2024-08-19

3. Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review;Current Cardiology Reports;2024-05-16

4. Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy;American Journal of Obstetrics & Gynecology MFM;2024-04

5. Electrocardiogram-based prediction of conduction disturbances after transcatheter aortic valve replacement with convolutional neural network;European Heart Journal - Digital Health;2024-02-08

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