Enhanced Detection of Heart Valve Disease Using Integrated Artificial Intelligence at Scale-Reference-Cited by-同舟云学术

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Enhanced Detection of Heart Valve Disease Using Integrated Artificial Intelligence at Scale

Published:2021-06 Issue: Volume: Page:
ISSN:0003-4975
Container-title:The Annals of Thoracic Surgery
language:en
Short-container-title:The Annals of Thoracic Surgery

Author:

O’Hair Daniel P.,Gada Hemal,Sotelo Miguel R.,Wagner Loren,Feind Cara M.,Brigman Logan,Rogers Chris,Kohli Navjot S.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference14 articles.

1. Aortic stenosis in the elderly: disease prevalence and number of candidates for transcatheter aortic valve replacement: a meta-analysis and modeling study;Osnabrugge;J Am Coll Cardiol,2013

2. A prospective survey of patients with valvular heart disease in Europe: the Euro Heart Survey on valvular heart disease;Iung;Eur Heart J,2003

3. hospital use of echocardiography: insights from the nationwide inpatient sample;Papolos;J Am Coll Cardiol,2016

4. Big data in healthcare: management, analysis and future prospects;Dash;J Big Data,2019

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1. Predictors of Disease Progression and Adverse Clinical Outcomes in Patients With Moderate Aortic Stenosis Using an Artificial Intelligence-Based Software Platform;The American Journal of Cardiology;2024-07

2. Exploring Rules Engines as an Artificial Intelligence Application in Medicine: A Scoping Review;2024-01-12

3. Aortic Stenosis;Journal of the American College of Cardiology;2023-11

4. Machine Learning to Optimize the Echocardiographic Follow-Up of Aortic Stenosis;JACC: Cardiovascular Imaging;2023-06

5. Editor’s Choice: Strength in Numbers;The Annals of Thoracic Surgery;2022-05

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