Associate Professor Ki Hong Lee

Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

Member of:

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

Presentations Articles

Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

Event: ESC Congress 2024

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Session: Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis

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Wearable self-powered ballistic signal detectors with ferroelectric composites arrays for cardiovascular and diabetic complication

Event: EHRA 2024

Topic: Vascular Diseases

Session: Basic science 1

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Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

Event: EHRA 2024

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: eCardiology

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Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

Event: EHRA 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Atrial Fibrillation - Round 6 - Clinical 2

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Optimal anticoagulation intensity with warfarin for the prevention of thromboembolism with minimal bleeding in Asian patients with atrial fibrillation: multi-center, randomized controlled trial

Event: EHRA 2023

Topic: Oral Anticoagulation

Session: ePoster session 16

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Comparison of non-vitamin K antagonist oral anticoagulants and warfarin on clinical outcomes in atrial fibrillation patients presenting myocardial infarction with percutaneous coronary intervention

Event: ESC Congress 2018

Topic: Anticoagulants

Session: Are NOACs really better than VKA in the real world?

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Primary prevention with ICD is beneficial in 40-day survivors after acute myocardial infarction with ejection fraction less than 40%, not 35%

Event: EHRA 2018

Topic: Ventricular Arrhythmias and SCD - Prevention

Session: Ventricular arrhythmias and sudden cardiac death (clinical aspects)

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Triple therapy is superior to dual anti-platelet therapy in atrial fibrillation patients experiencing acute myocardial infarction with percutaneous coronary intervention

Event: EHRA 2018

Topic: Atrial Fibrillation - Stroke Prevention - Oral Anticoagulation

Session: Atrial fibrillation - Clinical

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Predictive value of left atrial emptying fraction and late gadolinium enhancement for the clinical outcomes in atrial fibrillation patients undergoing ablation.

Event: ESC Congress 2017

Topic: Atrial fibrillation (AF)

Session: Atrial fibrillation ablation

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Modified application of SAME-TTR score in Asian patients with atrial fibrillation for choice of oral anticoagulants

Event: EHRA EUROPACE - CARDIOSTIM 2017

Topic: Clinical and epidemiological aspects (Atrial Fibrillation)

Session: Atrial Fibrillation - Clinical and epidemiological aspects

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ESC 365 is supported by

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Associate Professor Ki Hong Lee

Biography

Contributor content

Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

Wearable self-powered ballistic signal detectors with ferroelectric composites arrays for cardiovascular and diabetic complication

Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

Optimal anticoagulation intensity with warfarin for the prevention of thromboembolism with minimal bleeding in Asian patients with atrial fibrillation: multi-center, randomized controlled trial

Comparison of non-vitamin K antagonist oral anticoagulants and warfarin on clinical outcomes in atrial fibrillation patients presenting myocardial infarction with percutaneous coronary intervention

Primary prevention with ICD is beneficial in 40-day survivors after acute myocardial infarction with ejection fraction less than 40%, not 35%

Triple therapy is superior to dual anti-platelet therapy in atrial fibrillation patients experiencing acute myocardial infarction with percutaneous coronary intervention

Predictive value of left atrial emptying fraction and late gadolinium enhancement for the clinical outcomes in atrial fibrillation patients undergoing ablation.

Modified application of SAME-TTR score in Asian patients with atrial fibrillation for choice of oral anticoagulants

ESC 365 is supported by

Associate Professor Ki Hong Lee Follow

Biography

Contributor content

Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

Wearable self-powered ballistic signal detectors with ferroelectric composites arrays for cardiovascular and diabetic complication

Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence

Optimal anticoagulation intensity with warfarin for the prevention of thromboembolism with minimal bleeding in Asian patients with atrial fibrillation: multi-center, randomized controlled trial

Comparison of non-vitamin K antagonist oral anticoagulants and warfarin on clinical outcomes in atrial fibrillation patients presenting myocardial infarction with percutaneous coronary intervention

Primary prevention with ICD is beneficial in 40-day survivors after acute myocardial infarction with ejection fraction less than 40%, not 35%

Triple therapy is superior to dual anti-platelet therapy in atrial fibrillation patients experiencing acute myocardial infarction with percutaneous coronary intervention

Predictive value of left atrial emptying fraction and late gadolinium enhancement for the clinical outcomes in atrial fibrillation patients undergoing ablation.

Modified application of SAME-TTR score in Asian patients with atrial fibrillation for choice of oral anticoagulants

ESC 365 is supported by

Associate Professor Ki Hong Lee