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Deep learning-based automation of myocardial work and pressure-strain loop morphology analysis for differentiation of healthy and diseased in a population cohort

31 August 2026 (13:15 - 14:00)
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Congress Presentation Part of: Myocardial work and deformation imaging: from physiology to prognosis Technology ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Ms Ingrid Yttervoll

Norwegian University of Science and Technology, Trondheim (Norway)

6 More presentations in this session

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Regional distribution of myocardial work predicts adverse outcomes in hereditary transthyretin cardiac amyloidosis
Doctor J. Campos Barba (Ciudad de Mexico, MX)
Abstract
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Prevalence, associated factors and prognostic value of impaired left ventricular strain in patients with ischemic stroke
Doctor S. Kume (Tokyo, JP)
Abstract
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Left ventricular mechanical response to isometric exercise assessed by longitudinal strain and myocardial work in healthy adults
Doctor M. Otto (Brasilia, BR)
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Time-dependent left ventricular mechanical changes during prolonged moderate endurance exercise assessed by three-dimensional speckle-tracking echocardiography
Mr N. Hata (Tokyo, JP)
Abstract
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Correlation and systematic bias between CT-derived and echocardiography-derived left ventricular global longitudinal strain: a systematic review and meta-analysis
Doctor H. Lopez-Arevalo (Lawrence, US)
Abstract

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Myocardial work and deformation imaging: from physiology to prognosis

The Event

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ESC Congress 2026

31 August 2026 13:15 CET
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