Publications by authors named "Y Jang"

Proactive planning and preparation are critical to the safety of patients on dialysis during emergencies, such as natural disasters, and pandemics, such as coronavirus disease 2019. Patients with end-stage kidney disease are particularly vulnerable to disruptions such as power outages, water shortages, transportation issues, and dialysis center closures because they can result in missed dialysis sessions and severe health deterioration. This study aimed to develop tailored dietary guidelines for Korean patients on hemodialysis by applying the U.

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Background: Intravascular ultrasound (IVUS) guidance has been shown to yield favorable outcomes for endovascular treatment of femoropopliteal artery (FPA) disease with drug-coated balloon (DCB) angioplasty. However, the specific benefits of IVUS for treatment of complex FPA lesions remain uncertain.

Objectives: In this study, the authors compared the clinical impact of IVUS-guided vs angiography-guided DCB angioplasty in patients with complex or noncomplex FPA lesions.

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This study examined the concurrent effects of social isolation and elder mistreatment on mental distress in older Korean Americans (= 2,122, Mean age = 73.4). Approximately 44% experienced mistreatment, with 32% exposed to a single type and 12% to multiple types (polyvictimization).

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The cultivation period of shiitake () is approximately 120-150 d, which is longer than that of other edible mushrooms. The development of fruiting bodies in shiitake is affected by light exposure. In this study, we investigated the effects of blue light on the production and ergothioneine contents of shiitake mushrooms.

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Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both resource-limited and advanced settings.

Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation.

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