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A deep learning-based single-view echocardiographic analysis for prediction of left ventricular outflow tract obstruction after transcatheter aortic valve implantation

29 August 2026 (17:15 - 18:00)
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Congress Presentation Part of: Transcatheter aortic valve implantation: machine learning predictors of outcomes - focus on haemodynamics, leaflet thrombosis, and durability Aortic Valve Intervention ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Jeewoong Choi

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))

6 More presentations in this session

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Outcome of bioprosthetic valve fracture in small-valve ViV-TAVI procedures
Doctor F. Hadi (Haifa, IL)
Abstract
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Early hemodynamic impact of hypoattenuated leaflet thickening in new-generation transcatheter heart valves
Doctor K. Hattori (Yokohama, JP)
Abstract
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Novel clinical, procedural, and imaging predictors of long-term durability after transcatheter aortic valve replacement
Doctor O. Ayyad (Rehovot, IL)
Abstract
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Nationwide comparison of patients treated with self-expanding versus balloon-expandable valves for TAVI: insights from the netherlands heart registration
Mr G. Broeze (Amsterdam, NL)
Abstract
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Towards understanding the discordance between invasive and echocardiographic pressure gradients after transcatheter aortic valve implantation.
Doctor K. Hovde (Oslo, NO)
Abstract

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Transcatheter aortic valve implantation: machine learning predictors of outcomes - focus on haemodynamics, leaflet thrombosis, and durability

The Event

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ESC Congress 2026

29 August 2026 17:15 CET
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