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Multivariate multimodal modeling improves non-invasive classification of echocardiographic dysfunction beyond single electromechanical markers

29 August 2026 (13:15 - 14:00)
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Congress Presentation Part of: Using artificial intelligence co-pilot in cardiovascular education, research, and practice Multimodal ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Ms Johanna Treffts

BG University Hospital Bergmannsheil Bochum, Bochum (Germany)

6 More presentations in this session

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Beyond model accuracy: uncertainty-driven quality control for population-scale CMR segmentation
Miss M. Ferrari (Pavia, IT)
Abstract Slides
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Multimodal electromechanical phenotyping enables non-invasive classification of cardiac dysfunction
Mrs J. Treffts (Bochum, DE)
Abstract Slides
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Who’s keeping score? proposal for preference-informed win statistics and use to re-analyze 9 heart failure pharmacotherapy trials
Doctor R. Turgeon (Vancouver, CA)
Abstract Slides
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Conflicts of interest among authors of the ESC guidelines for the management of dyslipidaemias between 2016 and 2025
Professor C. Stoellberger (Wien, AT)
Abstract Slides
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Ethical and feasibility constraints underlying level C recommendations in ESC guidelines: an AI-assisted mapping study
Mr L. Dos Santos (Sao Paulo, BR)
Abstract Slides

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Using artificial intelligence co-pilot in cardiovascular education, research, and practice

The Event

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ESC Congress 2026

29 August 2026 13:15 CET
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