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Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography

27 August 2021 (08:00 - 20:00)
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Congress Presentation Part of: e-Cardiology/Digital Health ePosters Artificial Intelligence ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

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Mr Sigurd Zijun Zha

University of Oslo, Oslo (Norway)

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Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients
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Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks
Doctor M. Bigler (Bern, CH)
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Home monitoring program for patients following cardiac surgery
Mrs M. Sokolskaya (Moscow, RU)
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A new clinical decision support tool based on personalized evidence-based medicine improves outcomes of anticoagulation therapy in patients with atrial fibrillation: an analysis from the AF registry
Professor E. Pokushalov (San Francisco, US)
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Early detection of exacerbation of the severe acute respiratory syndrome coronavirus 2 infection using Fitbit (DEXTERITY Pilot Study)
Doctor K. Yamagami (Kanazawa, JP)
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e-Cardiology/Digital Health ePosters

The Event

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ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET
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