Deep Learning-Based Prediction System for Surgical Difficulty in Rectal Cancer Patients Using MRI Pelvimetry [0.03%]
基于深度学习的结直肠癌患者手术难度预测系统MRI盆腔测量
Yena Christina Kang,Tae Sik Hwang,Young Jae Kim et al.
Yena Christina Kang et al.
Purpose: This study presents a system that automatically predicts the difficulty of laparoscopic total mesorectal excision (TME) using magnetic resonance imaging (MRI) pelvimetry and the clinical characteristics of the pa...
Statin-Associated Hepatotoxicity Linked to CASP8 Polymorphisms: Mechanistic Insights from Proteomic Analysis [0.03%]
CASP8多态性与他汀相关肝毒性的关联：来自蛋白质组分析的机制启示
Da Hoon Lee,Yoon-A Park,Seo-A Choi et al.
Da Hoon Lee et al.
Purpose: Statins are widely used for cardiovascular diseases, but statin-associated hepatotoxicity remains a concern. Apoptotic caspases, including caspase-8 (CASP8) and caspase-3 (CASP3), are crucial in hepatotoxicity an...
Screening and Predictive Value of Thoracic Ossification Observed on Lateral Radiography for Myelopathy [0.03%]
颈椎侧位X线片骨化与脊髓病的筛查及预测价值分析
Hyun Jun Jang,Byung-Jou Lee,Kyung Hyun Kim et al.
Hyun Jun Jang et al.
Purpose: Ossification of the ligamentum flavum (OLF) is known to compress neural structures, leading to myelopathy. Although computed tomography (CT) is a reliable diagnostic tool, thoracic OLF is often underdiagnosed due...
Randomized Clinical Trial of Imagery Stabilization and Rescripting Therapy for Psychiatric Outpatients with Posttraumatic Stress Disorder [0.03%]
用于精神科门诊创伤后应激障碍患者的想象稳定和重写治疗的随机临床试验
Daeho Kim,Soorack Ryu,Ji Young Min et al.
Daeho Kim et al.
Purpose: To examine the safety and effectiveness of a novel psychotherapy based on imagery techniques, we conducted a randomized clinical trial comparing imagery stabilization and rescripting therapy (ISRT) with non-traum...
Randomized Controlled Trial
Yonsei medical journal. 2026 May;67(5):408-418. DOI:10.3349/ymj.2025.0167 2026
Epidemiological Trends in Inflammatory Bowel Disease in Korea: Age-Related Shifts and Urban-Rural Disparities in a Nationwide Study, 2004-2015 [0.03%]
2004-2015年韩国炎症性肠病流行趋势：全国范围调查中的城乡差异及年龄变化
Joonki Lee,Daye Park,Jihye Park et al.
Joonki Lee et al.
Purpose: The incidence of inflammatory bowel disease (IBD) is rapidly increasing in newly industrialized Asian countries. However, nationwide epidemiological shifts, especially age-specific trends and urbanization effects...
Continuous Glucose Monitoring-Driven Personalization of Cornstarch Therapy in Glycogen Storage Disease: A Retrospective Analysis [0.03%]
基于连续葡萄糖监测的玉米淀粉治疗个体化分层在 glycogen贮积病中的应用：一项回顾性分析研究
Jang Hoon Ru,Ji Seung Ryu,Yunkoo Kang et al.
Jang Hoon Ru et al.
Purpose: Hepatic glycogen storage diseases (GSD), including types Ia, Ib, and IXa, are rare inherited disorders characterized by impaired hepatic glucose homeostasis. In GSD Ia, deficiency of glucose-6-phosphatase results...
Cell-Derived Nanocarriers for Monocyte-Mediated Therapeutic Delivery: Concept and Challenges [0.03%]
基于细胞的纳米载体在单核细胞介导治疗中的应用：概念与挑战
Seung Eun Yu,Jueun Kim,Hak-Joon Sung
Seung Eun Yu
Nano-delivery has been largely focused on ligand-based navigational targeting, but several common limitations have been recognized. First, the same targeting ligand can be sporadically expressed by unintended cells and tissues across differ...
Risk of Type 2 Diabetes Mellitus in New Users of 5-Alpha Reductase Inhibitors: A Nationwide Historical Cohort Study [0.03%]
5α还原酶抑制剂新使用者二型糖尿病风险之研究：全国性回顾性群体研究报告
Minh-Ha Nguyen,Juyeon Ko,Jaelim Cho
Minh-Ha Nguyen
Purpose: Recent large-scale studies have investigated the risk of type 2 diabetes mellitus (T2DM) associated with the use of 5-alpha reductase inhibitors (5-ARIs) in benign prostatic hyperplasia (BPH) patients, but hetero...
Deep Learning for Automated Tumor Segmentation of Rectal Cancer on T2-Weighted Magnetic Resonance Images [0.03%]
基于T2加权磁共振图像的直肠癌自动肿瘤分割深度学习方法
Miri Seo,YongDae Lee,Myung-Won You
Miri Seo
Purpose: To develop a deep learning (DL)-based automated segmentation model for rectal cancer on T2-weighted (T2W) magnetic resonance (MR) images. Materia...
Predicting Post-Induction Hypotension in Diverse Surgical Populations: A Multiclass Classification Universal Model Using Machine Learning Techniques [0.03%]
基于机器学习技术预测不同外科人群的术后低血压：一种多分类普遍模型
Sang-Wook Lee,Donghee Lee,Sung-Hoon Kim
Sang-Wook Lee
Purpose: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesses its severity, addressing a broader patient population than previous s...