KSC 2020 | 64th Annual Scientific Meeting of The Korean Society of Cardiology

일정표

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Oral
Arrhythmia 3 105-112
Oct. 16 (Fri.) 15:40-17:10, Channel 07

Chairperson: Dae Kyeong Kim
Panel: Jaemin Shim, Sung Ho Lee

15:40 - 15:50
No : 105
[640156]

Genome-wide association study-based prediction of atrial fibrillation using convolutional neural network

[Speaker] Oh-Seok Kwon
Oh-Seok Kwon¹, Myunghee Hong¹, Tae-Hoon Kim¹, Inseok Hwang¹, Jaemin Shim², Eue-Keun Choi³, Hong Euy Lim⁴, Hee Tae Yu¹, Jae-Sun Uhm¹, Boyoung Joung¹, Seil Oh³, Moon-Hyoung Lee¹, Young-Hoon Kim², Hui-Nam Pak¹
¹Yonsei University Health System, Seoul, Republic of Korea ²Korea University Cardiovascular Center, Seoul, Republic of Korea ³Seoul National University, Seoul, Republic of Korea ⁴Hallym University, Republic of Korea

15:50 - 16:00
No : 106
[640087]

Role of clinical genetic testing using next-generation sequencing in inherited cardiac diseases

[Speaker] Joo Hee Jeong
Joo Hee Jeong,¹ Jong-Il Choi¹ (corresponding), Yoon Gi Kim², Yoon Young Choi², Ha Young Choi², Jaemin Shim², Jin Seok Kim², Young-Hoon Kim²
Korea University College of Medicine

No : 107
[640394]

16:00 - 16:10
No : 108
[640115]

Clinical and genetic relationships between the QTc interval and risk of a stroke among atrial fibrillation patients undergoing catheter ablation

[Speaker] Myunghee Hong
Myunghee Hong¹, Kyeong-Hyeon Chun¹, Inseok Hwang¹, Hee-Tae Yu¹, Tae-Hoon Kim¹, Jae Sun Uhm¹, Boyoung Joung¹, Moon-Hyoung Lee¹, Hui-Nam Pak^1*
¹Division of Cardiology, Department of Internal Medicine, Yonsei University Health System, Seoul, Korea.

16:10 - 16:20
No : 109
[640375]

Next Generation Sequencing Based Genetic Testing in Patients with Brugada Syndrome

[Speaker] Joon Sung Park
Joon Sung Park, MD, Namsik Yoon, MD, Hyung Ki Jeong, MD, Hyung Wook Park, MD, Jeong Gwan Cho, MD
Department of Cardiovascular Medicine, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jaebongro, Dong-gu, Gwangju, South Korea

16:20 - 16:30
No : 110
[640043]

연구비 발표 Research for Classification and Prognostic Prediction Automation of Patients with Atrial Fibrillation Using Deep Learning algorithm of 12 Lead Electrocardiogram

[Speaker] Yong Soo Baek
Yong-Soo Baek¹, Sang-chul Lee², Wonik Choi³, Dae-Hyeok Kim¹
¹ Division of Cardiology, Department of Internal Medicine, Inha University College of Medicine and Inha University Hospital, Incheon, Republic of Korea ² Department of computing engineering, Inha University, Incheon, Republic of Korea ³ Department of Information and Communication Engineering, Inha University, Incheon, Republic of Korea

16:30 - 16:40
No : 111
[640280]

Prediction of recurrence of atrial fibrillation after electrical cardioversion aided by deep learning analysis

[Speaker] Soonil Kwon
Soonil Kwon¹, Joonki Hong², Eue-Keun Choi¹, Byunghwan Lee³, Seil Oh¹, Yung Yi²
¹Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea ²Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea ³Sky Labs Inc., Seongnam, Republic of Korea

16:40 - 17:00
No : 112
[640195]

Artificial Intelligence for Acute Ischemic Stroke Subtype Classification in Multi-Parametric MRI

[Speaker] Dae In Lee
Hong-Kyu Shin¹, Seung Park, Ju-Hee Lee¹, Sang-Min Kim,² Sang-Yeop Lee², Jang-Whan Bae,² Kyung-Kook Hwang², Myeong-Chan Cho², Dae-In Lee²
1, Department of Electrical Engineering, Korea University; 2, Chungbuk National University Hospital