Severance Hospital

Hyaluronic Acid Hydrogel Incorporating Dexpanthenol-Engineered Extracellular Vesicles for Accelerated Wound Closure and Mitigated Secondary Infection Risk

Background: Loss of epithelial integrity leaves the wound bed open to opportunistic bacterial colonization, and the risk of secondary infection persists for as long as the defect remains unclosed. Wound dressings must therefore provide an immediate external barrier while accelera...

End-to-end deep learning-based determination of programmable shunt valve settings from standard two-view skull radiographs

Accurate identification of programmable shunt valve settings is crucial for managing patients with hydrocephalus, as unintended setting changes can lead to overdrainage or underdrainage of cerebrospinal fluid (CSF). Existing artificial intelligence (AI) models primarily focus on...

Data-driven personalization of just-in-time adaptive mental health intervention via two-stage reinforcement learning approach

Most digital mental health interventions still deliver uniform content, without accounting for how a user’s fluctuating psychological state interacts with their stable individual characteristics. We propose a two-stage offline reinforcement learning (RL) framework, trained on dat...

Importance of psychiatric evaluation and long-term outcomes of delirium in lung transplant recipients

OBJECTIVE: Lung transplantation (LT) is the only definitive treatment for end-stage lung diseases; however, patients often experience psychiatric problems that can affect post-transplant recovery. Although postoperative delirium frequently occurs, its risk factors and influence o...

Development of an artificial intelligence model for predicting cardiovascular disease in MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with cardiovascular disease (CVD). Conventional CVD risk scores often fail to reflect MASLD-specific factors. We aimed to develop and validate an artificial intelligence (AI) model for 10-year CVD risk...