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Multiparametric prediction of left ventricular adverse remodeling after myocardial infarction: a machine learning-based comparison of segmental strain and clinical risk factors

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Multimodality imaging of the myocardium Imaging of Heart Failure ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Xin A

301 Hospital, Beijing (China)

6 More presentations in this session

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Prognostic value of 99mTc-pyrophosphate uptake in patients with suspected transthyretin cardiac amyloidosis
Doctor T. Ajima (Izunokuni, JP)
Abstract Slides Video
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Discordant findings on stress cardiac magnetic resonance imaging and invasive coronary angiography are associated with left ventricular mass
Doctor K. Kader (Copenhagen, DK)
Abstract Slides Video
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A deep learning model to score Tc-99m PYP uptake in patients with suspected ATTR-CM
Mr D. Ou (Taipei, TW)
Abstract Slides Video
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Pathophysiologic implications of three-dimensional left ventricular longitudinal strain-volume loops in hypertrophic cardiomyopathy.
Doctor E. Pagourelias (Thessaloniki, GR)
Abstract Slides Video
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Temporal trends in first-line diagnostic testing for heart failure etiology in patients with new-onset heart failure and low pre-test probability of coronary artery disease
Doctor C. Graversen (Herning, DK)
Abstract Slides Video

Access the full session

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Multimodality imaging of the myocardium

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources