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Real-time deep learning echocardiographic global longitudinal strain improves agreement with cardiac magnetic resonance feature tracking compared to a conventional workflow

31 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Myocardial disease and amyloid phenotyping across modalities Imaging of Systolic and Diastolic Function ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Vegard Holmstrom

Norwegian University of Science and Technology, Trondheim (Norway)

6 More presentations in this session

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Multimodality imaging assessment of right ventricular longitudinal strain for prognostic stratification in cardiac amyloidosis: a systematic review and meta-analysis
Doctor J. Herrera (Cordoba, ES)
Abstract
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A combined threshold of 3D global longitudinal strain and extracellular volume identifies the highest-risk phenotype in light-chain cardiac amyloidosis
Miss F. Meng (Shanghai, CN)
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Prognostic value of CMR versus FDG-PET in cardiac sarcoidosis: insights from the MYSTICS registry
Doctor A. Sakai (Tokyo, JP)
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Accuracy of artificial intelligence-enabled handheld ultrasound devices to assess left ventricular ejection fraction: A systematic review and meta-analysis
Mr J. Winarta (US)
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Incremental prognostic value of left ventricular global function index, a novel marker of adaptive cardiac remodelling, in hypertrophic cardiomyopathy in a large contemporary cohort
Doctor M. Desai (Cleveland, US)
Abstract

Access the full session

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Myocardial disease and amyloid phenotyping across modalities

The Event

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ESC Congress 2026

31 August 2026 14:15 CET
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