Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance-Reference-Cited by-同舟云学术

Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance

Published:2021-01 Issue:1 Volume:3 Page:e20-e28
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Augusto João B,Davies Rhodri H,Bhuva Anish N,Knott Kristopher D,Seraphim Andreas,Alfarih Mashael,Lau Clement,Hughes Rebecca K,Lopes Luís R,Shiwani Hunain,Treibel Thomas A,Gerber Bernhard L,Hamilton-Craig Christian,Ntusi Ntobeko A B,Pontone Gianluca,Desai Milind Y,Greenwood John P,Swoboda Peter P,Captur Gabriella,Cavalcante João,Bucciarelli-Ducci Chiara,Petersen Steffen E,Schelbert Erik,Manisty Charlotte,Moon James C

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference21 articles.

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2. 2011 ACCF/AHA guideline for the diagnosis and treatment of hypertrophic cardiomyopathy: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines;Gersh;Circulation,2011

3. 2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC);Elliott;Eur Heart J,2014

4. Role of multimodality cardiac imaging in the management of patients with hypertrophic cardiomyopathy: an expert consensus of the European Association of Cardiovascular Imaging endorsed by the Saudi Heart Association;Cardim;Eur Heart J Cardiovasc Imaging,2015

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