Artificial intelligence-based identification of left ventricular systolic dysfunction from 12-lead electrocardiograms: External validation and advanced application of an existing model

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Artificial intelligence-based identification of left ventricular systolic dysfunction from 12-lead electrocardiograms: External validation and advanced application of an existing model

Session: Advanced digital diagnostics: welcome to the future

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Mr S. Koenig (Leipzig, DE)

Event: ESC Congress 2023

Congress Presentation

About the speaker

Mr Sebastian Koenig

Heart Center Leipzig at University of Leipzig, Leipzig (Germany)

1 presentation

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Prevalence of sleep apnea by a home diagnostic device in patients with atrial fibrillation

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Advanced digital diagnostics: welcome to the future

Speakers: Mr S. Koenig, Doctor L. Romano, Doctor S. Somani, Mr M. Jensen, Doctor W. Zhang...

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About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

Artificial intelligence-based identification of left ventricular systolic dysfunction from 12-lead electrocardiograms: External validation and advanced application of an existing model

About the speaker

Mr Sebastian Koenig

5 more presentations in this session

Quantification of heart failure decompensation through mixed digital methodology

A fast, novel technique for detection of left ventricular hypertrophy by electrocardiography

Prevalence of sleep apnea by a home diagnostic device in patients with atrial fibrillation

Feasibility of remote screening for high risk valve disease using a new wearable cardiac monitoring patch with synchronized phonocardiogram and electrocardiogram in communities

A digital health solution for long-term cardiac monitoring supporting a value-based stroke care path

Access the full session

Advanced digital diagnostics: welcome to the future

About the event

ESC Congress 2023

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