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On-device artificial intelligence: mobile solution for detecting severe aortic valve stenosis based on heart sounds

27 August 2021 (00:00 - 00:00)
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Congress Presentation Part of: Congress committee e-posters choice in e-cardiology and digital health Artificial Intelligence ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

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Associate Professor Hisaki Makimoto

Jichi Medical University, Shimotsuke (Japan)

11 More presentations in this session

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The role of process mining tools in STEMI networks: where should we build a new primary PCI centre?
Doctor J. Borges-Rosa (Coimbra, PT)
Abstract Slides
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Performance of a multisensory implantable cardioverter-defibrillator algorithm for remote heart failure management: the RE-HEART registry
Doctor J. De Juan Baguda (Madrid, ES)
Abstract Slides
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Telerobotic interventions from a distance: an initial experience in 3D phantom mapping
Doctor S. Ailoaei (Iasi, RO)
Abstract Slides
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A comparison of over-the-counter available smartwatches and devices for electrocardiogram based detection of atrial fibrillation
Ms J. Scholten (Amsterdam, NL)
Abstract Slides
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Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction.
Doctor K. Ibrahim (Sungai Buloh, MY)
Abstract Slides

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Congress committee e-posters choice in e-cardiology and digital health

The Event

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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021
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ESC 365 is supported by

novartis Explore sponsored resources