Associate Professor Ki Hong Lee
Chonnam National University Hospital, Gwangju (Korea (Republic of))
Membership:
FESC Member
EHRA Member
Follow
Biography
Present Academic Address and Hospital Appointments:
Associate Professor of Department of Cardiovascular Medicine, Chonnam National University Medical School, South Korea (2012-)
Associate Professor of Division of Cardiology, Chonnam National University Hospital, Gwangju, South Korea (2012-)
Academic Degree and Qualification:
Dec 2016: Received Cardiology specialist Fellowship of European Society of Cardiology (FESC)
Aug 2014: Received Philosopher’s degree of Medical Science from Graduate School of Chonnam National University, Korea
2019~: Steering Committee Board of Education, Research, Allied professional of Korean Heart Rhythm Society
2018~: Editorial Board of International Journal of Arrhythmia
2018~: Board Committee of Korean Atrial Fibrillation Guideline
Academic Experiences:
Jul.2019 ~ Oct.2020: Visiting Scholar in the Department of Pediatrics, Emory University, Georgia, US; Visiting Scholar in the Department of Biomedical Engineering, Georgia Tech, Georgia, US
Dec.2015-Feb.20
Contributor content
Presentation
Stroke risk stratification by coronary artery disease extent in patients with atrial fibrillation
Presentation
Presentation
Impact of statin and ezetimibe for the prevention of stroke in patients with atrial fibrillation
Presentation
Prediction and classification of aortic stenosis severity based on electrocardiogram with deep learning model
Presentation
Enhancing atrial fibrillation detection during normal sinus rhythm using self-supervised electrocardiogram foundation model
Presentation
Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model
Presentation
Wearable self-powered ballistic signal detectors with ferroelectric composites arrays for cardiovascular and diabetic complication
Presentation
Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning
Presentation
Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence
Presentation
