Design and Validation of a Wearable System for Enhanced Monitoring of Lower Limb Lymphedema [0.03%]
一种用于改善下肢淋巴水肿监测的可穿戴系统的开发与验证
Sara Bernasconi,Giovanni Maria Oriolo,Giovanni Farina et al.
Sara Bernasconi et al.
Lymphedema, characterized by limb swelling, is typically treated with Complex Decongestive Therapy (CDT), which includes physical exercise. This study seeks to design and validate a wearable device aimed at enhancing CDT by monitoring patie...
Multi-Branch CNN-LSTM Fusion Network-Driven System With BERT Semantic Evaluator for Radiology Reporting in Emergency Head CTs [0.03%]
多分支CNN-LSTM融合网络驱动的BERT语义评估系统在急诊头颅CT中的影像学报告应用
Selene Tomassini,Damiano Duranti,Abdallah Zeggada et al.
Selene Tomassini et al.
The high volume of emergency room patients often necessitates head CT examinations to rule out ischemic, hemorrhagic, or other organic pathologies. A system that enhances the diagnostic efficacy of head CT imaging in emergency settings thro...
Design and Development of an Integrated Virtual Reality (VR)-Based Training System for Difficult Airway Management [0.03%]
集成虚拟现实(VR)为基础的困难气道管理训练系统的设计与开发
Saurabh Jain,Bijoy Dripta Barua Chowdhury,Jarrod M Mosier et al.
Saurabh Jain et al.
For over 40 years, airway management simulation has been a cornerstone of medical training, aiming to reduce procedural risks for critically ill patients. However, existing simulation technologies often lack the versatility and realism need...
Quantification of Motor Learning in Hand Adjustability Movements: An Evaluation Variable for Discriminant Cognitive Decline [0.03%]
手部可调运动中 motor learning 的定量分析：用于辨别认知衰退的评价变量
Kazuya Toshima,Yu Chokki,Toshiaki Wasaka et al.
Kazuya Toshima et al.
Objective: Mild cognitive impairment (MCI) is characterized by early symptoms of attentional decline and may be distinguished through motor learning results. A relationship was reported between dexterous hand movements an...
Cross-Modal Augmented Transformer for Automated Medical Report Generation [0.03%]
用于自动医学报告生成的跨模态增强变换器
Yuhao Tang,Ye Yuan,Fei Tao et al.
Yuhao Tang et al.
In clinical practice, interpreting medical images and composing diagnostic reports typically involve significant manual workload. Therefore, an automated report generation framework that mimics a doctor's diagnosis better meets the requirem...
Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA [0.03%]
基于近红外光谱及微小核糖核酸早期评估的抗抑郁治疗反应预测模型
Lok Hua Lee,Cyrus Su Hui Ho,Yee Ling Chan et al.
Lok Hua Lee et al.
While functional near-infrared spectroscopy (fNIRS) had previously been suggested for major depressive disorder (MDD) diagnosis, the clinical application to predict antidepressant treatment response (ATR) is still unclear. To address this, ...
Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder [0.03%]
融合静息神经生理数据的大规模筛查冰毒使用障碍的融合模型
Chun-Chuan Chen,Meng-Chang Tsai,Eric Hsiao-Kuang Wu et al.
Chun-Chuan Chen et al.
Methamphetamine use disorder (MUD) is a substance use disorder. Because MUD has become more prevalent due to the COVID-19 pandemic, alternative ways to help the efficiency of mass screening of MUD are important. Previous studies used electr...
Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy [0.03%]
基于近红外光谱的智能新生儿血液灌注评估系统
Hsiu-Lin Chen,Bor-Shing Lin,Chieh-Miao Chang et al.
Hsiu-Lin Chen et al.
High-risk infants in the neonatal intensive care unit often encounter the problems with hemodynamic instability, and the poor blood circulation may cause shock or other sequelae. But the appearance of shock is not easy to be noticed in the ...
Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects [0.03%]
非呼吸机患者的非接触式吸入-呼气时间比监测
Paul S Addison,Andre Antunes,Dean Montgomery et al.
Paul S Addison et al.
The inhalation-exhalation (I:E) ratio, known to be an indicator of respiratory disease, is the ratio between the inhalation phase and exhalation phase of each breath. Here, we report on results from a non-contact monitoring method for the d...
Elevating Patient Care With Deep Learning: High-Resolution Cervical Auscultation Signals for Swallowing Kinematic Analysis in Nasogastric Tube Patients [0.03%]
基于深度学习的患者护理提升：鼻胃管患者的高分辨率颈椎听诊信号及其吞咽动力学分析
Farnaz Khodami,Amanda S Mahoney,James L Coyle et al.
Farnaz Khodami et al.
Patients with nasogastric (NG) tubes require careful monitoring due to the potential impact of the tube on their ability to swallow safely. This study aimed to investigate the utility of high-resolution cervical auscultation (HRCA) signals ...