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Multimodal machine learning-based technical success prediction in patients undergoing transcatheter aortic valve implantation

2 September 2024 (12:00 - 12:40)
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Congress Presentation Part of: Applying digital health to valvular heart disease Intervention ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Daijiro Tomii

Bern University Hospital, Inselspital, Bern (Switzerland)

6 More presentations in this session

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Prognostic stratification of patients with mitral regurgitation using artificial intelligence-enhanced electrocardiogram for left ventricular diastolic function assessment
Doctor G. Tsaban (Rochester, US)
Abstract Slides Video
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A new wearable cardiac acoustic monitoring technology for the evaluation of subclinical leaflet thrombosis after transcatheter aortic valve replacement: a pilot study
Mrs R. Liu (Beijing, CN)
Abstract Slides Video
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Fully automated CT analysis with a deep-learning based algorithm for pre-procedural planning in transcatheter aortic valve implantation
Doctor M. Arsalan (Giessen, DE)
Abstract Slides Video
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Electrocardiographic criteria for the diagnosis of left ventricular hypertrophy in patients with severe aortic stenosis
Doctor V. Emer Egypto Rosa (Sao Paulo, BR)
Abstract Slides Video
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Magnetocardiographic imaging of Tpeak-Tend magnetic field dynamics discriminates between ventricular repolarization disorders due to mitral valve prolapse and to ischemic heart disease
Associate Professor R. Fenici (Rome, IT)
Abstract Slides Video

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Applying digital health to valvular heart disease

The Event

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ESC Congress 2024

2 September 2024 12:00 CET
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