ESC Professional Premium Access

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

Congress Presentation

About the speaker

Assistant Professor Jordan Strom

Beth Israel Deaconess Medical Center, Boston (United States of America)
2 presentations
0 follower

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)


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)


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

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


Access the full session

Is artificial intelligence gaining ground in valvular heart disease?

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

About the event


ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb