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Jaemin Sim

Korea University · 医学

研究室紹介

Professor Jaemin Sim's research lab specializes in interventional electrophysiology, focusing on optimizing radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF). The lab investigates anatomical and physiological predictors of AF recurrence, including left atrial and left atrial appendage (LAA) remodeling, wall stress, and the impact of LAA isolation on stroke risk. Utilizing advanced imaging, computational modeling (*in-silico* ablation), and artificial intelligence, the lab aims to personalize ablation strategies to improve clinical outcomes and reduce complications such as atrioesophageal fistula. Their work bridges clinical cardiology with innovative technologies to enhance procedural efficacy and safety in AF management.

atrial fibrillationcatheter ablationleft atrial appendagein-silico ablationartificial intelligence in cardiology

Research Overview

Papers
390
Total Citations
5,673
Papers (5y)
140
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
140total
2022
2023
2024
2025
2026
Citations per year (5y)
798total
20222023202420252026

Selected Papers

15
1
Article|85 citations·2018
Electrical isolation of the left atrial appendage increases the risk of ischemic stroke and transient ischemic attack regardless of postisolation flow velocity
Yun Gi Kim, Yun Gi Kim, Jaemin Shim, Suk‐Kyu Oh, Kwang‐No Lee, Jong‐Il Choi, Young‐Hoon Kim, Young‐Hoon Kim
SJR Q1Heart RhythmOA

BackgroundElectrical isolation of the left atrial appendage (LAA) is associated with a lower rate of atrial fibrillation (AF) recurrence in patients undergoing radiofrequency catheter ablation. However, LAA isolation can significantly impair LAA contractility.ObjectiveThis study was performed to evaluate whether electrical isolation of the LAA is associated with an increased risk of ischemic stroke or transient ischemic attack (TIA).MethodsConsecutive patients with AF undergoing radiofrequency c

Cardiology and Cardiovascular MedicineMedicine
2
Article|63 citations·2013
Design of low power CMOS ultra wide band low noise amplifier using noise canceling technique
Jaemin Shim, Taejun Yang, Jichai Jeong
SJR Q3Microelectronics Journal
Electrical and Electronic EngineeringEngineering
3
Review|48 citations·2016
Radiofrequency Catheter Ablation Improves the Quality of Life Measured with a Short Form-36 Questionnaire in Atrial Fibrillation Patients: A Systematic Review and Meta-Analysis
Yun Gi Kim, Jaemin Shim, Jong‐Il Choi, Young‐Hoon Kim
SJR Q1PLoS ONEOA

RFCA is associated with a significant increase in the PCS and MCS in AF patients. Patients without AF recurrence after RFCA had a better improvement in the PCS and MCS than patients who had AF recurrence.

Cardiology and Cardiovascular MedicineMedicine
4
Article|43 citations·2017
Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study
Jaemin Shim, Minki Hwang, Jun-Seop Song, Byounghyun Lim, Tae‐Hoon Kim, Boyoung Joung, Sung Hwan Kim, Yong‐Seog Oh, Gi-Byung Nam, Young Keun On, Seil Oh, Young‐Hoon Kim
SJR Q2Frontiers in PhysiologyOA

<b>Objective:</b> Radiofrequency catheter ablation for persistent atrial fibrillation (PeAF) still has a substantial recurrence rate. This study aims to investigate whether an AF ablation lesion set chosen using <i>in-silico</i> ablation (V-ABL) is clinically feasible and more effective than an empirically chosen ablation lesion set (Em-ABL) in patients with PeAF. <b>Methods:</b> We prospectively included 108 patients with antiarrhythmic drug-resistant PeAF (77.8% men, age 60.8 ± 9.9 years), and

Cardiology and Cardiovascular MedicineMedicine
5
Article|39 citations·2021
Chitosan–dipeptide hydrogels as potential anticancer drug delivery systems
Jaemin Shim, Jiseon Kang, Seok Il Yun
SJR Q1International Journal of Biological Macromolecules
BiomaterialsMaterials Science
6
Article|35 citations·2018
Characteristics of atrial fibrillation patients suffering atrioesophageal fistula after radiofrequency catheter ablation
Yun Gi Kim, Yun Gi Kim, Jaemin Shim, Dong‐Hyeok Kim, Jong‐Il Choi, Sang‐Weon Park, Hui‐Nam Pak, Young‐Hoon Kim, Young‐Hoon Kim
SJR Q1Journal of Cardiovascular ElectrophysiologyOA

Abstract Introduction Radiofrequency catheter ablation (RFCA) in atrial fibrillation (AF) patients can cause various complications and atrioesophageal (AE) fistula is one of the most catastrophic complications of RFCA. Methods and results RFCA registries from 3 cardiovascular centers in the Republic of Korea consisted of 5721 patients undergoing 6724 procedures. Before undergoing RFCA, patients underwent either computed tomography or magnetic resonance imaging. We evaluated clinical, anatomical,

Cardiology and Cardiovascular MedicineMedicine
7
Article|32 citations·2012
Long duration of radiofrequency energy delivery is an independent predictor of clinical recurrence after catheter ablation of atrial fibrillation: Over 500 cases experience
Jaemin Shim, Boyoung Joung, Jae Hyung Park, Jae‐Sun Uhm, Moon‐Hyoung Lee, Hui‐Nam Pak
SJR Q1International Journal of CardiologyOA
Cardiology and Cardiovascular MedicineMedicine
8
Article|23 citations·2018
Different Responses of Left Atrium and Left Atrial Appendage to Radiofrequency Catheter Ablation of Atrial Fibrillation: a Follow Up MRI study
Yun Gi Kim, Jaemin Shim, Suk‐Kyu Oh, Hee‐Soon Park, Kwang‐No Lee, Sung Ho Hwang, Jong‐Il Choi, Young‐Hoon Kim
SJR Q1Scientific ReportsOA

Abstract Atrial fibrillation (AF) is known to cause adverse remodeling of left atrium (LA). Radiofrequency catheter ablation (RFCA) of AF is associated with decrease in LA volume. However, the impact of RFCA on left atrial appendage (LAA) volume and hemodynamic function is not fully understood. We analyzed 123 patients who underwent cardiac magnetic resonance imaging (MRI) evaluation before and after RFCA in Korea University Anam Hospital. LA and LAA volume were measured before and after RFCA ba

Cardiology and Cardiovascular MedicineMedicine
9
Article|21 citations·2021
Left Atrial Wall Stress and the Long-Term Outcome of Catheter Ablation of Atrial Fibrillation: An Artificial Intelligence-Based Prediction of Atrial Wall Stress
Jae-Hyuk Lee, Oh‐Seok Kwon, Jaemin Shim, Jisu Lee, Hee-Jin Han, Hee Tae Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Boyoung Joung, Moon‐Hyoung Lee, Young‐Hoon Kim, Hui‐Nam Pak
SJR Q2Frontiers in PhysiologyOA

Atrial stretch may contribute to the mechanism of atrial fibrillation (AF) recurrence after atrial fibrillation catheter ablation (AFCA). We tested whether the left atrial (LA) wall stress (LAW-stress [ measured ] ) could be predicted by artificial intelligence (AI) using non-invasive parameters (LAW-stress [AI] ) and whether rhythm outcome after AFCA could be predicted by LAW-stress [AI] in an independent cohort. Cohort 1 included 2223 patients, and cohort 2 included 658 patients who underwent

Cardiology and Cardiovascular MedicineMedicine
10
Article|20 citations·2020
Management of Atrio-esophageal Fistula Induced by Radiofrequency Catheter Ablation in Atrial Fibrillation Patients: a Case Series
Yun Gi Kim, Jaemin Shim, Kwang‐No Lee, Ju Yong Lim, Jae‐Ho Chung, Jae Seung Jung, Jong‐Il Choi, Sung Ho Lee, Ho Sung Son, Young‐Hoon Kim, Young‐Hoon Kim, Young‐Hoon Kim
SJR Q1Scientific ReportsOA

Atrio-esophageal fistula (AEF) is one of the most devastating complication of radiofrequency catheter ablation (RFCA) of atrial fibrillation (AF) and surgical repair is strongly recommended. However, optimal surgical approach remains to be elucidated. We retrospectively reviewed AEF cases that occurred after RFCA in a single center and evaluated the clinical results of different surgical approach. Surgical or endoscopic repair was attempted in five AF patients who underwent RFCA. Atrio-esophagea

Cardiology and Cardiovascular MedicineMedicine
11
Article|18 citations·2024
Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation
Hanjin Park, Oh‐Seok Kwon, Jaemin Shim, Daehoon Kim, Je‐Wook Park, Yun-Gi Kim, Hee Tae Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Jong‐Il Choi, Boyoung Joung, Moon‐Hyoung Lee
SJR Q1npj Digital MedicineOA

The application of artificial intelligence (AI) algorithms to 12-lead electrocardiogram (ECG) provides promising age prediction models. We explored whether the gap between the pre-procedural AI-ECG age and chronological age can predict atrial fibrillation (AF) recurrence after catheter ablation. We validated a pre-trained residual network-based model for age prediction on four multinational datasets. Then we estimated AI-ECG age using a pre-procedural sinus rhythm ECG among individuals on anti-a

Cardiology and Cardiovascular MedicineMedicine
12
Article|16 citations·2019
Risk Factors for Ischemic Stroke in Atrial Fibrillation Patients Undergoing Radiofrequency Catheter Ablation
Yun Gi Kim, Jaemin Shim, Suk‐Kyu Oh, Kwang‐No Lee, Jong‐Il Choi, Young‐Hoon Kim, Young‐Hoon Kim, Young‐Hoon Kim
SJR Q1Scientific ReportsOA

Abstract Ischemic stroke after radiofrequency catheter ablation (RFCA) in atrial fibrillation (AF) patients is a great challenge for electrophysiologists. We performed this retrospective study to evaluate clinical and echocardiographic characteristics associated with increased risk of ischemic stroke following RFCA. A total of 2,352 consecutive patients with AF who underwent first-time RFCA were analyzed. Among 10,023 patient*year follow up, ischemic stroke occurred in 49 patients (0.49% per yea

Cardiology and Cardiovascular MedicineMedicine
13
Article|16 citations·2021
Malnutrition and Risk of Procedural Complications in Patients With Atrial Fibrillation Undergoing Catheter Ablation
Daehoon Kim, Jaemin Shim, Yun Gi Kim, Hee Tae Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Jong‐Il Choi, Boyoung Joung, Moon‐Hyoung Lee, Young‐Hoon Kim, Hui‐Nam Pak
SJR Q1Frontiers in Cardiovascular MedicineOA

Background: Little is known about the prognostic value of nutritional status among patients undergoing atrial fibrillation (AF) catheter ablation (AFCA). We compared the risk of procedure-related complications and long-term rhythm outcomes of AFCA according to nutritional status. Methods: We included 3,239 patients undergoing de novo AFCA in 2009-2020. Nutritional status was assessed using the controlling nutritional status (CONUT) score. The association between malnutrition and the risk of AFCA

Cardiology and Cardiovascular MedicineMedicine
14
Article|11 citations·2022
Machine Learning-Predicted Progression to Permanent Atrial Fibrillation After Catheter Ablation
Je‐Wook Park, Oh‐Seok Kwon, Jaemin Shim, Inseok Hwang, Yun Gi Kim, Hee Tae Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Jong‐Youn Kim, Jong‐Il Choi, Boyoung Joung, Moon‐Hyoung Lee
SJR Q1Frontiers in Cardiovascular MedicineOA

Introduction We developed a prediction model for atrial fibrillation (AF) progression and tested whether machine learning (ML) could reproduce the prediction power in an independent cohort using pre-procedural non-invasive variables alone. Methods Cohort 1 included 1,214 patients and cohort 2, 658, and all underwent AF catheter ablation (AFCA). AF progression to permanent AF was defined as sustained AF despite repeat AFCA or cardioversion under antiarrhythmic drugs. We developed a risk stratific

Cardiology and Cardiovascular MedicineMedicine
15
Article|9 citations·2017
A band-selective low-noise amplifier using an improved tunable active inductor for 3–5 GHz UWB receivers
Jaemin Shim, Jichai Jeong
SJR Q3Microelectronics Journal
Electrical and Electronic EngineeringEngineering

Research Areas

Cardiology and Cardiovascular MedicineSurgeryRadiology, Nuclear Medicine and ImagingGeneticsElectrical and Electronic EngineeringEmergency Medicine

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