
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
Independent prognostic value of coronary artery calcification for ischemic stroke in patients with atrial fibrillation
Presentation
Association between ischemic stroke and coronary artery disease severity in patients with atrial fibrillation: big data evidence supporting a regional paradox
Presentation
Continuous 24-hour cuffless blood pressure monitoring reveals high prevalence of non-dipping and blunted nocturnal heart rate reduction in rate-controlled atrial fibrillation
Presentation
Feasibility of cuffless blood pressure monitoring in atrial fibrillation with a finger ring
Presentation
Stroke risk stratification by coronary artery disease extent in patients with atrial fibrillation
Presentation
Pulse Day, APHRS at the Paris marathon: running for heart health
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


