Speaker illustration

Assistant Professor Ki-Hyun Jeon

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))

Member of:

European Society of Cardiology

Artificial intelligence-derived ECG bio-index as a tool for predicting the prognosis of patients with ST-segment elevation myocardial infarction underwent primary percutaneous coronary intervention

Event: ESC Congress 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: The latest in cardiovascular diagnostics supported by artificial intelligence


Deep learning-based electrocardiogram analysis detecting paroxysmal atrial fibrillation during sinus rhythm in patients with cryptogenic stroke : validation study using implantable cardiac monitoring

Event: ESC Congress 2022

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Digital health innovation: from artificial intelligence to clinical decision support


Deep-learning-based artificial intelligence algorithm for detecting anemia using electrocardiogram

Event: ESC Congress 2020

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Session: e-Cardiology / Digital Health ePosters


Long term clinical outcomes of patients with coronary artery aneurysm

Event: ESC Congress 2018

Topic: Epidemiology, Prognosis, Outcome

Session: Coronary artery disease : epidemiology and outcomes


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