Publications by authors named "Tae-Hoon Kim"

Ovarian steroid hormones-estrogen and progesterone-play a central role in regulating epithelial-stromal interactions in the uterus. These interactions are critical for uterine function, including endometrial receptivity, implantation, and decidualization. These interactions involve complex signaling crosstalk between the uterine epithelium and the underlying stroma, with dynamic cell population-specific roles.

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Importance: Data from randomized clinical trials on a long-term anticoagulation strategy for patients after catheter-based ablation for atrial fibrillation (AF) are lacking.

Objective: To evaluate whether discontinuing oral anticoagulant therapy provides superior clinical outcomes compared with continuing oral anticoagulant therapy in patients without documented atrial arrhythmia recurrence after catheter ablation for AF.

Design, Setting, And Participants: A randomized clinical trial including 840 adult patients (aged 19-80 years) who were enrolled and randomized from July 28, 2020, to March 9, 2023, at 18 hospitals in South Korea.

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Background: Accurate measurement of atrial fibrillation (AF) incidence using secondary data is challenging due to variation in lookback period definitions used to distinguish incident from prevalent cases. As the choice of lookback period critically influences incidence estimates, establishing an appropriate duration is essential for sustained surveillance of AF trends.

Objectives: This study aimed to identify a reproducible definition of the lookback period and analyze trends in the incidence rate and prevalence of AF in Korea.

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The exponential growth of digital technologies has brought about a surge in the complexity and frequency of cyber-attacks, necessitating robust cyber security measures. This study introduces an innovative approach to cyber security data analysis by leveraging Convolutional Neural Network (CNN) technology. The primary objective is to explore the potential of CNNs in accurately and efficiently detecting and classifying cyber security threats.

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Background: Racial differences in the propensity to bleeding may be evident, with a higher risk of bleeding in Asian populations. This study aimed to assess racial differences in bleeding risk among patients with atrial fibrillation (AF) using an ecological epidemiological approach.

Methods: We included patients with AF from the Korean National Health Insurance Service-Health Screening and UK Biobank who underwent health check-ups between 2006 and 2010.

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The COVID-19 pandemic has underscored the critical necessity for robust and accurate predictive frameworks to bolster global healthcare infrastructures. This study presents a comprehensive examination of convolutional neural networks (CNNs) applied to the prediction of COVID-19-related health outcomes, with an emphasis on core challenges, methodological constraints, and potential remediation strategies. Our investigation targets two principal aims: the identification of COVID-19 infections through chest radiographic imaging, specifically X-rays, and the prognostication of disease severity by integrating clinical parameters and electronic health records.

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Mixed-matrix membranes (MMMs), consisting of fillers dispersed in a polymer matrix, have been extensively studied for gas separation. However, their application in ethylene/ethane (C₂H₄/C₂H₆) separation remains limited. This study examines the impact of incorporating highly selective zeolite fillers into a 6FDA-DAM-type polyimide on C₂H₄/C₂H₆ separation performance.

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Background: The IVUS-DCB (Intravascular Ultrasound-Guided Drug-Coated Balloon Angioplasty for Femoropopliteal Artery Disease) trial found that intravascular ultrasound (IVUS)-guided drug-coated balloon (DCB) angioplasty was associated with superior 12-month outcomes, compared with conventional angiography-guided DCB angioplasty. However, the durability of these benefits remains uncertain. The aim of this study was to compare the 24-month outcomes of IVUS-guided versus angiography-guided DCB angioplasty for femoropopliteal artery disease.

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Endotracheal intubation is used in critically ill patients to provide oxygen and apply mechanical ventilation, and identifying the exact timing of intubation plays a crucial role in the patient's prognosis. We developed an artificial intelligence-based model to predict the timing of intubation. We found that the predictive performance of our developed GRU-D++ model was the best among various models.

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Background And Objectives: The objective of this study was to investigate whether genetic, structural, and clinical factors were associated with atrial fibrillation (AF) in patients with hypertrophic cardiomyopathy (HCM).

Methods: Of the 212 prospectively enrolled patients in the HCM genetic registry, 33 had initial AF, and the remaining 179 (126 males, 58±13 years) were followed up for the development of new-onset AF.

Results: Patients with initial AF had older age, lower estimated glomerular filtration rate (eGFR), lower left ventricular (LV) global longitudinal strain, higher left atrial volume index (LAVI), and higher LV extracellular volume fraction.

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Aims: We explored whether artificial intelligence (AI)-enabled electrocardiographic (ECG) sex discrepancy would predict atrial fibrillation (AF) recurrence after catheter ablation for paroxysmal AF.

Methods And Results: The AI-ECG sex prediction model was developed from the MIMIC-IV and externally validated on CODE-15% (AUC 0.89) and UK Biobank (AUC 0.

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Background: Previous studies from Western populations have reported changing temporal trends in ischemic stroke (IS) incidence in females with atrial fibrillation (AF) when compared with males. Nationwide data on such temporal trends in AF-related IS incidence by sex are limited in Asian populations.

Methods: This population-based retrospective cohort study included patients with incident AF diagnosed between 2005 and 2016 from the Korean National Health Insurance Service.

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This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. The research addresses key power quality challenges - including voltage sags, swells, harmonics, and transient disturbances - through a data-driven framework that combines traditional control techniques with adaptive learning models. A variety of algorithms, including Support Vector Machines (SVM), Random Forests, Neural Networks, Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks, were tested using real-time data.

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Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by mucosal inflammation and debilitating symptoms that considerably impair life quality. UC is particularly prevalent in younger populations, where early diagnosis remains challenging owing to nonspecific symptoms and the potential progression to colitis-associated cancer (CAC). The GSE177044 dataset, consisting of whole blood samples, was analyzed to identify differentially expressed genes, perform gene annotation, analyze key signaling pathways, and detect key hub genes in UC using protein-protein interaction networks.

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Background And Objectives: Conflicting results have been reported regarding the efficacy of left ventricular-only pacing (LVP) synchronized with intrinsic right ventricular conduction (adaptive LVP) for cardiac resynchronization therapy (CRT) in Western heart failure (HF) populations. We compared adaptive LVP with conventional biventricular pacing (BVP) in Asian HF patients.

Methods: The K-adaptive CRT study, the largest adaptive CRT study to date in Asian HF patients, evaluated 368 HF patients who received CRT devices with an adaptive pacing algorithm between September 2013 and March 2020 from 25 tertiary hospitals in Korea.

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Background: The detection of atrial fibrillation (AF) after a cryptogenic stroke (CS) carries important therapeutic implications. In this study, we aimed to accurately assess the incidence of AF among CS subjects by using an insertable cardiac monitor (ICM).

Methods: A prospective, single-arm, multicentre registry was conducted to identify AF in 155 CS subjects using the Confirm Rx ICM (Abbott, California, USA) across 20 global sites.

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Background: The relationship between metabolic status as a possible risk factor and predictor of response to moderate-to-vigorous physical activity (MVPA) in atrioventricular block (AVB) remains unclear.

Methods: A total of 82,365 UK Biobank participants without a history of AVB or pacemaker implantation, and who were involved in accelerometer work-up, were chosen for the study population. Metabolic status was classified into two categories, healthy and unhealthy, using modified criteria for metabolic syndrome from the International Diabetes Federation.

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The river transports dissolved and particulate matter to the estuary, where physical and biogeochemical transitions occur. In the river-estuary transition zone (RETZ), phytoplankton response is an effective indicator of environmental variability with their immediate responses. Here, we examine summer-monsoonal variability in productivity and nitrogen uptake of phytoplankton in three major Korean rivers and their estuaries: the Han, Geum, and Yeongsan.

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Endometriosis is a benign gynecological condition in which endometrial-like tissue grows outside of the uterus, and the mechanisms of its pathogenesis are not fully understood. The anatomical and physiological parallels between pigs and humans have made pigs a good model for investigating other human diseases. Here, we report on the development of a swine model for endometriosis in which the peritoneal cavity was inoculated with autologous endometrial tissue fragments labeled with fluorescein isothiocyanate (FITC) dye-doped silica nanoparticles.

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The integration and utilization of digital media, gamified learning strategies, and artificial intelligence (AI) are fundamentally transforming the landscape of oncology education and learning. These technologies collectively enhance knowledge dissemination, facilitate professional networking and mentoring, and enrich the overall educational experience for the learner. Digital formats, including social media, offer flexible and asynchronous learning modalities that provide access to the latest studies and research, expert commentary, and opportunities for professional development and collaboration.

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Background: Falls are common among hospitalized patients, particularly affecting older adults. This study analyzed patients who experienced falls at Kangwon National University Hospital (KNUH) and classified them based on department and nursing shift hours.

Methods: Data from adult patients admitted to KNUH between 2018 and 2023 who experienced falls were analyzed, focusing on demographics, medications, comorbidities, alcohol and smoking histories, and the Morse Fall Scale.

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Oxidative stress serves as both a driver and result of redox metabolism across diverse physiological and pathological states, including cancer. Head and neck squamous cell carcinoma (HNSCC), the sixth most prevalent malignancy worldwide, is no exception. HNSCC is strongly linked to modifiable external risk factors such as tobacco smoking, alcohol consumption, and high-risk human papilloma (HR-HPV) infection.

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: Colon adenocarcinoma (COAD), the most prevalent form of colorectal cancer, remains a leading cause of cancer-related mortality. Advances in various treatments for COAD have significantly improved treatment outcomes. However, therapeutic limitations persist, highlighting the need for personalized strategies driven by novel biomarkers.

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Background: Left bundle branch area pacing (LBBAP) offers cardiac synchrony benefits over conventional ventricular pacing. Although many studies on LBBAP have used lumenless pacing leads (LLLs), stylet-driven pacing leads (SDLs) can also be used. In this study, we compared LLLs and SDLs for LBBAP through a systematic review and meta-analysis of the literature.

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