Prediction of aortic stenosis progression using artificial intelligence: a machine learning model based on echocardiographic data

21 November 2025 (08:00 - 18:00)

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About the speaker

Doctor Edward Itelman

Rabin Medical Centre, Petah Tikva (Israel)

6 More presentations in this session

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Early assessment of atrial dysfunction severity using an AI-powered FCN from baseline echocardiography

Mrs K. Sadreddini (Paris, FR)

Abstract Slides

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Prediction of normal echocardiograms from 12-lead electrocardiograms using deep learning to improve outpatient screening for structural heart disease

Mr B. Arends (Utrecht, NL)

Abstract Slides

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Predicting worsening and mortality in heart hailure: a novel deep learning approach using echocardiographic data outperforms established biomarkers

Ms A. Romano Martinez (Mainz, DE)

Abstract Slides

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Robust left ventricular segmentation in 2d echocardiography using deep statistical shape priors

Doctor S. Faghihroohi (Munich, DE)

Abstract Slides

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Prediction of aortic valve calcium score in echocardiography through AI

Mr P. Lopez-Gutierrez (Barcelona, ES)

Abstract Slides

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AI applications in echocardiography and cardiovascular risk modeling

The Event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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ESC 365 is supported by

novartis

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