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

Session: AI applications in echocardiography and cardiovascular risk modeling
Topic: Deep Learning
Speaker: Ms A. Romano Martinez (Mainz, DE)
Event: ESC Digital & AI Summit 2025

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Ms Aida Romano Martinez

University Medical Centre of the Johannes Gutenberg University, Mainz (Germany)
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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

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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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AI applications in echocardiography and cardiovascular risk modeling

Speakers: Ms A. Romano Martinez, Mrs K. Sadreddini, Mr B. Arends, 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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