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Assessment of aortic valve function in over 47,000 people using deep learning

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About the speaker

Doctor Shinwan Kany

Broad Institute, Cambridge (United States of America)
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Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation

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Decoding calcific mitral valve disease: a novel deep learning model uncovers the role of calcium burden

Speaker: Doctor S. Arif (Montreal, CA)

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An artificial intelligence algorithm for detection of severe aortic stenosis: a clinical cohort study

Speaker: Assistant Professor J. Strom (Boston, US)

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Patient-specific computer modelling to predict anatomical risk factors preventing post transcatheter aortic valve implantation coronary re-access in bicuspid aortic valve; a modelling study.

Speaker: Doctor J. Dargan (London, GB)

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Impact of hypertension on mean transvalvular gradients in aortic stenosis Lessons learned from in silico modelling

Speaker: Doctor J. Jacques (Cape Town, ZA)

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Access the full session

Is artificial intelligence gaining ground in valvular heart disease?

Speakers: Doctor S. Kany, Doctor J. Naser, Doctor S. Arif, Assistant Professor J. Strom, Doctor J. Dargan...
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ESC Congress 2023

25 August - 28 August 2023

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