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Enhancing cardiac amyloidosis and hypertrophic cardiomyopathy differentiation using radiomics-based machine learning on cardiac MRI

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Cardiac magnetic resonance insights into amyloidosis imaging T1 and T2 Mapping ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Mr Keiji Tada

Matsue City Hospital, Matsue (Japan)

7 More presentations in this session

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Multimodality artificial intelligence-based major adverse cardiovascular events prediction in transthyretin amyloid cardiomyopathy patients
Doctor G. Baj (Bern, CH)
Abstract Slides Video
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Prognostic impact of atrial fibrosis detected by cardiac magnetic resonance in patients affected by cardiac amyloidosis
Doctor M. Dicorato (Bari, IT)
Abstract Slides Video
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RGAN-Driven T1 Map Synthesis from OS-CMR: a step toward AI-assisted amyloidosis diagnosis
Doctor F. Lotfikazemi (Montreal, CA)
Abstract Slides Video
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Brain amyloid accumulation in patients with transthyretin amyloid cardiomyopathy: a pilot study
Doctor M. Ungericht (Innsbruck, AT)
Abstract Slides Video
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Feature tracking-cardiovascular magnetic resonance to predict major adverse cardiovascular events in patients with cardiac amyloidosis
Doctor M. Dicorato (Bari, IT)
Abstract Slides Video

Access the full session

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Cardiac magnetic resonance insights into amyloidosis imaging

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