Published Research
Science & Research
Echo IQ aims to support closing the gap in diagnosis and treatment of structural heart disease, thus saving lives and improving the health and well-being of patients worldwide.
We feel that it is important to share published research that supports our mission and provides substantial evidence of our method’s benefits. It is important for us that this published research is easily accessible.
Our solutions are underpinned by research and academic rigour. These selected journal articles illustrate the extent of the problem and shine a light on the potential for artificial intelligence to have a positive impact in the sector. By reading this published research, you’ll gain knowledge and insight regarding AI and machine learning in the field of medicine.
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St Vincent’s Hospital, Melbourne: EchoSolv AS study of 8,257.
By Imelda Cotton - December 15, 2022
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.
By David Playford MBBS, PhD, Edward Bordin BSc, ME, Razali Mohamad BCM, ME, Simon Stewart PhD, Geoff Strange BN, PhD.
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.
By David Playford MBBS, PhD, Edward Bordin BSc, ME, Razali Mohamad BCM, ME, Simon Stewart PhD, Geoff Strange BN, PhD
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The Alarm Blares for Undertreatment of Aortic Stenosis.
Lindman B, Lowenstern A, et al.
J Am Coll Cardiol.
2022 Mar, 79 (9) 878–881.
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Our Hidden Ageing:
Time to Listen to the Heart
Baker Institute
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Live longer and better without aortic valve stenosis
Marie-Annick Clavel
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