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Unsupervised machine learning generated clusters of left ventricular strain curves identifies patients in risk of heart failure and cardiovascular death following acute myocardial infarction

29 August 2020 (08:30 - 08:30)
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Congress Presentation Part of: Novel Technological Approaches in Echocardiography: What Do They Provide? Tissue Doppler, Speckle Tracking and Strain Imaging ESC Premium Access ESC Congress 2020

About the speaker

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Mr Jakob Oeystein Simonsen

Gentofte University Hospital, Copenhagen (Denmark)

6 More presentations in this session

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Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: Results from a pivotal prospective multi-center clinical trial
Mr S. Surette (Brisbane, US)
Abstract Slides
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Using deep learning to extract novel and quantitative imaging features from perfluoropropane contrast, sulphur hexafluoride contrast and non-contrast stress echocardiography images
Mr C. Dockerill (London, GB)
Abstract Slides
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Hemodynamic heterogeneity of inadequate cardiac output increase identified by 2-dimensional volumetric exercise echocardiography: slow, stiff or weak heart?
Doctor T. Bombardini (Banja Luka, BA)
Abstract Slides
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Feasibility, reproducibility, and clinical implications of the fully automated assessment for global longitudinal strain.
Doctor H. Kawakami (Toon, JP)
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Fully automated contrast and non-contrast cardiac view detection in echocardiography a multi-centre, multi-vendor study
Doctor A. Beqiri (Oxford, GB)
Abstract Slides

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Novel Technological Approaches in Echocardiography: What Do They Provide?

The Event

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ESC Congress 2020

29 August 2020 08:30 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources