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Clinical phenotypes and survival in multivalvular heart disease: differential prognostic impact of valve combinations

28 August 2026 (08:27 - 08:39)
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Congress Presentation Part of: Artificial intelligence-enabled echocardiography: phenotypes, prediction, and practice Valvular Heart Disease ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Konstantinos Barmpagiannos

The University Of Oklahoma Health Sciences Center, Oklahoma City (United States of America)

4 More presentations in this session

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Unsupervised trajectory-based clustering identifies a rapid progression phenotype in patients with aortic stenosis
Doctor J. Zhang (Osaka, JP)
Abstract Slides Video
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Utility of multi-expert approach for validation of AI in echocardiography
Doctor S. Chawla (London, GB)
Abstract Slides Video
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Combining AI-enabled acquisition and interpretation for screening aortic stenosis: a prospective validation and pragmatic workflow
Doctor G. Tsaban (Rochester, US)
Abstract Slides Video
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AI-based diagnostic model for functional myocardial ischemia using resting echocardiographic strain analysis
Doctor Y. Liu (Beijing, CN)
Abstract Slides Video

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Artificial intelligence-enabled echocardiography: phenotypes, prediction, and practice
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ESC Congress 2026

28 August 2026 08:27 CET
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