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Global diastology index: a novel and personalised diastolic function score derived by machine learning from 33104 echocardiograms and validated against invasive haemodynamics

29 August 2025 (12:15 - 13:00)
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Congress Presentation Part of: Artificial Intelligence in echocardiography Systolic and Diastolic Function ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Andrew Fletcher

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Multicenter study on the diagnostic accuracy of left ventricular hypertrophy using a fully automated echocardiographic analysis system with artificial intelligence
Ms Y. Nomura (Tokushima, JP)
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Detection of vegetations in transesophageal echocardiographic images of patients with infective endocarditis using artificial intelligence
Mr D. Pinilla (Valladolid, ES)
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Artificial intelligence-based model can distinguish patients from healthy volunteers based on natural shear wave properties
Doctor K. Bamps (Leuven, BE)
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Machine learning-based identification of clinical phenotypes and prognostic stratification in ANOCA patients
Professor M. Li (Jinan, CN)
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Pre-procedural assessment of left atrial appendage occlusion using an AI-driven imaging software
Doctor M. Gatto (Rome, IT)
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Access the full session

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Artificial Intelligence in echocardiography

The Event

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ESC Congress 2025

29 August 2025 12:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources