Han-Jin Park

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

Among AF patients with advanced CKD or ESRD on dialysis, DOAC was associated with a lower risk of major or CRNM bleeding compared to warfarin and a lower risk of composite adverse clinical outcomes compared to no OAC. ClinicalTrials.gov (NCT02786095).

BACKGROUND: Proteomic signatures might improve disease prediction and enable targeted disease prevention and management. We explored whether a protein risk score derived from large-scale proteomics data improves risk prediction of atrial fibrillation (AF). METHODS: A total of 51 680 individuals with 1459 unique plasma protein measurements and without a history of AF were included from the UKB-PPP (UK Biobank Pharma Proteomics Project). A protein risk score was developed with lasso-penalized Cox

BACKGROUND: The reason for higher incidence of atrial fibrillation (AF) in Europe compared with East Asia is unclear. We aimed to investigate the association between modifiable lifestyle factors and lifetime risk of AF in Europe and East Asia, along with race/ethnic similarities and disparities. METHODS: 1:1 propensity score matched pairs of 242,763 East Asians and 242,763 White Europeans without AF were analyzed. Modifiable lifestyle factors considered were blood pressure, body mass index, ciga

Background The comparative efficacy, saftey, and heart rate variability (HRV) parameters after pulmonary vein isolation using cryoballoon (Cryo-PVI), high-power short-duration (HPSD-PVI), and conventional radiofrequency ablation (conventional-PVI) for atrial fibrillation (AF) is unclear. Materials and methods In this propensity score-weighted, retrospective analysis of a single-center cohort, we analyzed 3,395 patients (26.2% female, 74.5% paroxysmal AF) who underwent AF catheter ablation withou

BACKGROUND: A study was designed to investigate whether the coronary artery disease polygenic risk score (CAD-PRS) may guide lipid-lowering treatment initiation as well as deferral in primary prevention beyond established clinical risk scores. METHODS AND RESULTS: Participants were 311 799 individuals from the UK Biobank free of atherosclerotic cardiovascular disease, diabetes, chronic kidney disease, and lipid-lowering treatment at baseline. Participants were categorized as statin indicated, st

연구배경 오늘날 다양한 분야의 디자인이 저시력자와 같은 시각장애를 고려하고 있으나 현장성 부재와 기본기 결여라는 문제 때문에 실제 현장에서는 저시력자에게 많은 지적을 받고있다. 저시력자에 대한 근본적인 이해와 연구의 기초자료 부재라는 문제를 극복하고자 출발한 본 연구는 저시력자의 생활공간인지 특성에 대하여 분석하고 문제점 및 개선방안을 연구하여 보았다. 연구방법 기존에 검증된 학술자료를 통해 저시력자의 기본 특성을 이해해보고 실제 저시력자이자 저시력 인지 전문가를 섭외하여 저시력자의 생활공간에서 하루일과를 수차례에 걸쳐 동행취재 및 인터뷰함으로서 공간인지 현상과 원인 그리고 대안에 대해 심층적으로 연구하여 보았다. 연구 콘텐츠로는 저시력자의 주된 하루 일과- 외출준비, 도보, 전철타기, 약속장소 출입이라는 4가지의 생활공간에서 10가지 구체적인 공간인지에 대한 관찰, 문제점, 대안연구로 구성하였다. 연구결과 저시력자의 수월한 공간인지를 위해서는 ‘거리(distance)’, ‘조명(b

The prognostic significance of resting heart rate and its therapeutic target in atrial fibrillation (AF) is uncertain. We sought to investigate the relationship between resting heart rate and cardiovascular outcomes in patients with non-paroxysmal AF (non-PAF). In this propensity score-weighted, multi-center prospective cohort study, 3217 patients with non-PAF were analyzed. Patients were categorized according to the baseline resting heart rate and cardiovascular outcomes were accessed for a med

Abstract 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 0.92) cohorts. After validation, we estimated AI-ECG sex from pre-procedural sinus rhythm ECGs among paroxysmal AF patients scheduled for cat

산업의 중심이 서비스로 전개되고 있는 오늘날, 디자인 분야에서도 서비스디자인이 붐을 이루고 있으나주체가 되는 디자이너들의 서비스 인식은 표피적인 문제와 함께 역량부족의 문제를 보인다. 이로 인해 실무현장에서 서비스 기획은 디자이너가 구현하지 못하고별도의 전문가를 필요로 하는데 이러한 문제인식을 배경으로 서비스디자인 관점에서 기존 디자인 사례들을분석하여 서비스디자인의 핵심을 제시해보고자 하였다. 이로 인해 디자이너들이 갖는 표피적인 서비스디자인의 개념을 바로 잡고 그 가치를 간접 체험하게 하여 올바른 서비스디자인의 개념과 마인드를 제안하는것이 본 논문의 목적이다. 서비스디자인은 현장을 기반으로 한 관점, 동기디자인이라고 할 수 있다. 이를 위해서는 디자이너 중심의통계조사 및 단순한 FGI 인터뷰식의 리서치가 아닌,현장에서 고유문화에 대한 진정성 있는 이해가 필요하고 이를 바탕으로 한 전체적인 문제 재 정의를 요구한다. 무엇보다도 중요한 것은 이러한 내용들을 유저 관점에서 이해하는 것이

Introduction: Targeted screening for atrial fibrillation (AF) should include those at highest risk of future AF-related stroke/systemic embolism, which might be potentially preventable. Hypothesis: To investigate whether AF polygenic risk score (AF-PRS) can predict future AF-related stroke/systemic embolism. Methods: A total of 41,337 individuals (≥65 years) free of AF and additional risk factor for stroke at baseline were included from the UK Biobank. A stroke/systemic embolism event was consid