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

22 November 2025 (11:30 - 12:15)
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Congress Presentation Part of: AI applications in echocardiography and cardiovascular risk modeling Machine Learning Open Access ESC Digital & AI Summit 2025 European Society of Cardiology

About the speaker

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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

Access the full session

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AI applications in echocardiography and cardiovascular risk modeling

The Event

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ESC Digital & AI Summit 2025

22 November 2025 11:30 CET
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