EchoSolv™ AS research and publications
Research supporting the potential of AI and EchoSolv in AS
The aim of Echo IQ is to improve the identification of structural heart disease and, in the process, save lives and improve the health and well-being of patients worldwide.
Our innovations are supported by research and academic rigor. These selected journal articles illustrate the extent of the problem and highlight the potential for AI and specifically EchoSolv AS to offer solutions.
Dec 22, 2024
Detection of Severe Aortic Stenosis by Clinicians Versus Artificial Intelligence: A Retrospective Clinical Cohort Study
By Geoff Strange, Michael P. Feneley, David Prior, David Muller, Prasanna Venkataraman, Yiling Situ, Simon Stewart, David Playford. American Heart Journal Plus: Cardiology Research and Practice.
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Oct 25, 2024
An Artificial Intelligence Algorithm for Detection of Severe Aortic Stenosis: A Clinical Cohort Study
By Jordan B. Strom, David Playford, Simon Stewart, and Geoff Strange. JACC Advances.
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Aug 01, 2023
Enhanced Detection of Severe Aortic Stenosis via Artificial Intelligence: A Clinical Cohort Study
By Geoff Strange, Simon Stewart, Andrew Watts, David Playford. Open Heart.
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Mar 28, 2022
The Alarm Blares for Undertreatment of Aortic Stenosis
By Brian R. Lindman and Angela Lowenstern. JACC.
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May 01, 2020
Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms
By David Playford, Edward Bordin, Razali Mohamad, Simon Stewart, and Geoff Strange. JACC Cardiovascular Imaging.
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