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

Session: AI applications in echocardiography and cardiovascular risk modeling
Topic: Deep Learning
Speaker: Mr B. Arends (Utrecht, NL)
Event: ESC Digital & AI Summit 2025

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Mr Bauke Arends

University Medical Center Utrecht, Utrecht (Netherlands (The))
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6 more presentations in this session

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

Speaker: Mrs K. Sadreddini (Paris, FR)

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

Speaker: Ms A. Romano Martinez (Mainz, DE)

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

Speaker: Doctor E. Itelman (Petah Tikva, IL)

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

Speaker: Doctor S. Faghihroohi (Munich, DE)

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Prediction of aortic valve calcium score in echocardiography through AI

Speaker: Mr P. Lopez-Gutierrez (Barcelona, ES)

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Access the full session

AI applications in echocardiography and cardiovascular risk modeling

Speakers: Mr B. Arends, Mrs K. Sadreddini, Ms A. Romano Martinez, Doctor E. Itelman, Doctor S. Faghihroohi...
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About the event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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