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

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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

Session: Novel Technological Approaches in Echocardiography: What Do They Provide?

Topic: Tissue Doppler, Speckle Tracking and Strain Imaging

Speaker: Mr J. Simonsen (Copenhagen S, DK)

Event: ESC Congress 2020

Congress Presentation

About the speaker

Mr Jakob Oeystein Simonsen

Gentofte Hospital, Copenhagen S (Denmark)

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6 more presentations in this session

Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: Results from a pivotal prospective multi-center clinical trial

Speaker: Mr S. Surette (Brisbane, US)

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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

Speaker: Mr C. Dockerill (London, GB)

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Hemodynamic heterogeneity of inadequate cardiac output increase identified by 2-dimensional volumetric exercise echocardiography: slow, stiff or weak heart?

Speaker: Doctor T. Bombardini (Banja Luka, BA)

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Feasibility, reproducibility, and clinical implications of the fully automated assessment for global longitudinal strain.

Speaker: 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

Speaker: Doctor A. Beqiri (Oxford, GB)

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Abstract

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Novel Technological Approaches in Echocardiography: What Do They Provide?

Speakers: Mr J. Simonsen, Mr S. Surette, Mr C. Dockerill, Doctor T. Bombardini, Doctor H. Kawakami...

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About the event

ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations

Congress

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

About the speaker

Mr Jakob Oeystein Simonsen

6 more presentations in this session

Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: Results from a pivotal prospective multi-center clinical trial

Using deep learning to extract novel and quantitative imaging features from perfluoropropane contrast, sulphur hexafluoride contrast and non-contrast stress echocardiography images

Hemodynamic heterogeneity of inadequate cardiac output increase identified by 2-dimensional volumetric exercise echocardiography: slow, stiff or weak heart?

Feasibility, reproducibility, and clinical implications of the fully automated assessment for global longitudinal strain.

Fully automated contrast and non-contrast cardiac view detection in echocardiography a multi-centre, multi-vendor study

Access the full session

Novel Technological Approaches in Echocardiography: What Do They Provide?

About the event

ESC Congress 2020

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