Assessment of Disease Status and Treatment Response With Artificial Intelligence−Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy-Reference-Cited by-同舟云学术

Assessment of Disease Status and Treatment Response With Artificial Intelligence−Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy

Published:2022-03 Issue:10 Volume:79 Page:1032-1034
ISSN:0735-1097
Container-title:Journal of the American College of Cardiology
language:en
Short-container-title:Journal of the American College of Cardiology

Author:

Tison Geoffrey H.,Siontis Konstantinos C.,Abreau Sean,Attia Zachi,Agarwal Priyanka,Balasubramanyam Aarthi,Li Yunfan,Sehnert Amy J.,Edelberg Jay M.,Friedman Paul A.,Olgin Jeffrey E.,Noseworthy Peter A.

Funder

National Heart, Lung, and Blood Institute

Janssen Pharmaceuticals

Agency for Healthcare Research and Quality

MyoKardia

Mayo Clinic

American Heart Association

National Institute on Aging

Medtronic

National Institutes of Health

U.S. Food and Drug Administration

Samsung

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference4 articles.

1. Automated and interpretable patient ECG profiles for disease detection, tracking, and discovery;Tison;Circ Cardiovasc Qual Outcomes,2019

2. Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled electrocardiogram;Ko;J Am Coll Cardiol,2020

3. Precision pharmacological treatment for obstructive hypertrophic cardiomyopathy with mavacamten: one-year results from PIONEER-OLE;Heitner;Circulation,2019

4. The electrocardiogram in the diagnosis and management of patients with hypertrophic cardiomyopathy;Finocchiaro;Heart Rhythm,2020

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