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

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

Session: Is artificial intelligence gaining ground in valvular heart disease?

Topic: Aortic Valve Stenosis

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

Event: ESC Congress 2023

Congress Presentation

About the speaker

Doctor Jurgens Jacobus Jacques

University of Stellenbosch, Cape Town (South Africa)

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5 more presentations in this session

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

Speaker: Doctor S. Kany (Cambridge, US)

Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation

Speaker: Doctor J. Naser (Rochester, US)

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

Speaker: Doctor S. Arif (Montreal, CA)

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

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

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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Is artificial intelligence gaining ground in valvular heart disease?

Speakers: Doctor J. Jacques, Doctor S. Kany, Doctor J. Naser, Doctor S. Arif, Assistant Professor J. Strom...

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

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

About the speaker

Doctor Jurgens Jacobus Jacques

5 more presentations in this session

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

Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation

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

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

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.

Access the full session

Is artificial intelligence gaining ground in valvular heart disease?

About the event

ESC Congress 2023

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