Automated Evaluation of Urodynamic Examinations Through Local Linear Models: Validation on Spinal Cord Injury Individuals [0.03%]
基于局部线性模型的神经源性膀胱尿动力学检查自动化评估：脊髓损伤患者中的验证研究
Wensi Zhang,Jurgen Pannek,Jens Wollner et al.
Wensi Zhang et al.
Objective: Investigating consistent methods and metrics for classifying Detrusor Overactivity (DO) events and developing an automated robust method for clinical measurements calculation from cystometry data in persons wit...
MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline [0.03%]
基于MRI的海马变化的纵向研究在认知下降初期阶段的变化规律
Qunxi Dong,Yuhang Sheng,Junru Zhu et al.
Qunxi Dong et al.
Based on available magnetic resonance imaging (MRI) studies, hippocampal alteration is one of the hallmarks during cognitive decline. However, the longitudinal hippocampal morphometric changes during the initial cognitive decline are unclea...
A Novel Design of a Portable Birdcage via Meander Line Antenna (MLA) to Lower Beta Amyloid (Aβ) in Alzheimer's Disease [0.03%]
一种新型迷宫线天线鸟笼设计以降低阿尔茨海默病中的β淀粉样蛋白水平
Felipe Perez,Jorge Morisaki,Haitham Kanakri et al.
Felipe Perez et al.
Late Onset Alzheimer's Disease (LOAD) is the most common cause of dementia, characterized by the deposition of plaques primarily of neurotoxic amyloid-[Formula: see text] ([Formula: see text]) peptide and tau protein. Our objective is to de...
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification [0.03%]
用于产时卡氏图分类的深度学习方法跨数据库评估
Lochana Mendis,Debjyoti Karmakar,Marimuthu Palaniswami et al.
Lochana Mendis et al.
Continuous monitoring of fetal heart rate (FHR) and uterine contractions (UC), otherwise known as cardiotocography (CTG), is often used to assess the risk of fetal compromise during labor. However, interpreting CTG recordings visually is ch...
On-Demand Cueing Sensitive to Step Variability: Understanding Its Impact on Gait of Individuals With Parkinson's Disease [0.03%]
按需提示对帕金森病患者步态的影响及其与步长变异性的关系研究
Priya Pallavi,Ankita Raghuvanshi,Suhagiya Dharmik Kumar et al.
Priya Pallavi et al.
Parkinson's disease (PD) is characterized by gait disturbances with freezing of gait (FoG) being one of the most disabling symptoms. The FoG episode is often preceded by an increase in variability in Step Time. As the disease progresses, su...
Temporal Relation Modeling and Multimodal Adversarial Alignment Network for Pilot Workload Evaluation [0.03%]
基于时空关系的飞行员工作负荷评价方法
Xinhui Li,Ao Li,Wenyu Fu et al.
Xinhui Li et al.
Pilots face complex working environments during flight missions, which can easily lead to excessive workload and affect flight safety. Physiological signals are commonly used to evaluate a pilot's workload because they are objective and can...
Survival Prediction of Esophageal Cancer Using 3D CT Imaging: A Context-Aware Approach With Non-Local Feature Aggregation and Graph-Based Spatial Interaction [0.03%]
基于非局部特征聚合和图模型的食道癌生存预测研究
Fuce Guo,Chen Huang,Shengmei Lin et al.
Fuce Guo et al.
Accurate prediction of survival rates in esophageal cancer (EC) is crucial for guiding personalized treatment decisions. Deep learning-based survival models have gained increasing attention due to their powerful ability to capture complex e...
Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip [0.03%]
基于深度学习的发育性髋关节发育不良自动诊断系统
Yang Li,Leo Yan Li-Han,Hua Tian
Yang Li
The clinical diagnosis of developmental dysplasia of the hip (DDH) typically involves manually measuring key radiological angles-Center-Edge (CE), Tönnis, and Sharp angles-from pelvic radiographs, a process that is time-consuming and susce...
Letter to the Editor on "From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows" [0.03%]
致编辑关于“从概念到临床：生活实验室和监管沙箱在卫生系统数字化以及将创新设备整合到临床工作流程中的作用”的信件
Rebecca Mathias,Anett Schonfelder,Cindy Welzel et al.
Rebecca Mathias et al.
Digital health and AI-enabled technologies hold the promise of addressing gaps in healthcare, but balancing rapid market access with the need for safe, functional, and user-centered solutions remains a challenge [1], [2]. Regulatory require...
Projected AR Serious Game "Painting Discovery" for Shoulder Rehabilitation: Assessment With Technicians, Physiotherapists, and Patients [0.03%]
基于AR的康复游戏“ Painting Discovery ”的设计与评估：治疗师和患者的反馈研究
Giuseppe Turini,Marina Carbone,Sara Condino et al.
Giuseppe Turini et al.
Objective: Motivation and adherence are crucial for effective rehabilitation, yet engagement remains a challenge in upper limb physiotherapy. Serious Games (SGs) have emerged as a promising tool to enhance patient motivat...