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An automated machine learning-based approach to define outcome-driven thresholds for echocardiographic parameters of RV function

28 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Right ventricular mechanics and ventriculo‑pulmonary coupling: imaging, automation, and outcomes Systolic and Diastolic Function ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Mate Tolvaj

Semmelweis University Heart and Vascular Center, Budapest (Hungary)

7 More presentations in this session

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Diagnostic utility of right ventricular free wall strain for cardiac amyloidosis in patients undergoing transcatheter aortic valve implantation.
Doctor T. yoshii (Yokohama, JP)
Abstract Slides Video
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Deep learning–based right ventricular free wall longitudinal strain predicts mortality in an unselected clinical cohort
Doctor V. Holmstrom (Trondheim, NO)
Abstract Slides Video
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Heart rate–dependent reduction in right ventricular strain: insights from controlled atrial pacing and fully automated deep‑learning echocardiography
Ms A. Woelfert (Trondheim, NO)
Abstract Slides Video
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Right ventricular function and the risk of pulmonary exacerbations in people with cystic fibrosis – a prospective cohort study
Miss M. Krogh-Jensen (DK)
Abstract Slides Video
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Right ventricular–pulmonary arterial uncoupling predicts heart failure hospitalisation in transthyretin cardiac amyloidosis
Doctor J. Freyre Hernando (Buenos Aires, AR)
Abstract Slides Video

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Right ventricular mechanics and ventriculo‑pulmonary coupling: imaging, automation, and outcomes

The Event

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ESC Congress 2026

28 August 2026 14:15 CET
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