Can prediction of acute myocardial infarction using a deep learning-enabled electrocardiogram be used in real-world practice?

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Can prediction of acute myocardial infarction using a deep learning-enabled electrocardiogram be used in real-world practice?

Session: eCardiology Award

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Associate Professor L. Jung (Jeonju, KR)

Event: EHRA 2024

Congress Presentation

About the speaker

Associate Professor Laeyoung Jung

Jeonbuk National University Hospital, Jeonju (Korea (Republic of))

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3 more presentations in this session

Machine learning for outcome prediction of atrial fibrillation recurrence after catheter ablation

Speaker: Doctor S. Knecht (Basel, CH)

Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures.

Speaker: Doctor R. De Lucia (Pisa, IT)

Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

Speaker: Doctor A. Sau (London, GB)

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eCardiology Award

Speakers: Associate Professor L. Jung, Doctor S. Knecht, Doctor R. De Lucia, Doctor A. Sau

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About the event

EHRA 2024

7 April - 9 April 2024

Sessions Presentations

Congress

Can prediction of acute myocardial infarction using a deep learning-enabled electrocardiogram be used in real-world practice?

About the speaker

Associate Professor Laeyoung Jung

3 more presentations in this session

Machine learning for outcome prediction of atrial fibrillation recurrence after catheter ablation

Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures.

Artificial intelligence enabled electrocardiogram for mortality and ventricular arrhythmia prediction

Access the full session

eCardiology Award

About the event

EHRA 2024

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