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

30 August 2024 (08:00 - 17:30)
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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

Access the full session

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Applying digital health to valvular heart disease

The Event

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ESC Congress 2024

30 August - 2 September 2024
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ESC 365 is supported by

novartis Explore sponsored resources