A Strategy for the In-Silico Assessment of Drug Eluting Stents: A Comparative Study for the Evaluation of Retinoic Acid as a Novel Drug Candidate for Drug Eluting Stents [0.03%]
药物缓释支架的计算机辅助评估方法及视黄酸作为新型药物载体的评价研究
Dimitrios S Pleouras,Vasileios S Loukas,Georgia Karanasiou et al.
Dimitrios S Pleouras et al.
In this work, a methodology for the in-silico evaluation of drug eluting stents (DES) is presented. A stent model developed by Rontis S.A. has been employed. For modeling purposes two different stent parts have been considered: the metal co...
Feasibility of Using Autonomous Ankle Exoskeletons to Augment Community Walking in Cerebral Palsy [0.03%]
用于脑瘫社区行走增强的自主踝足外骨骼的可行性研究
Collin D Bowersock,Zachary F Lerner
Collin D Bowersock
Objective: This pilot study investigated the feasibility and efficacy of using autonomous ankle exoskeletons in community settings among individuals with cerebral palsy (CP). Five participants completed two structured community walking prot...
Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning [0.03%]
基于数据驱动的深度学习双视图乳腺癌超声影像检测技术研究
Ting-Ruen Wei,Michele Hell,Aren Vierra et al.
Ting-Ruen Wei et al.
Goal: This study aims to enhance AI-assisted breast cancer diagnosis through dual-view sonography using a data-centric approach. Methods: We customize a DenseNet-based model on our exclusive dual-view breast ultrasound dataset to enhance th...
Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction [0.03%]
基于机器学习的X射线投影插值，用于改进四维锥形束CT重建技术
Jayroop Ramesh,Donthi Sankalpa,Rohan Mitra et al.
Jayroop Ramesh et al.
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The ...
Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening [0.03%]
优化临床特征分析以改善心血管疾病风险筛查
Sofiya Vyshnya,Rachel Epperson,Felipe Giuste et al.
Sofiya Vyshnya et al.
Objective: To develop a clinical decision support tool that can predict cardiovascular disease (CVD) risk with high accuracy while requiring minimal clinical feature input, thus reducing the time and effort required by clinicians to manuall...
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction [0.03%]
基于解剖的多模态学习用于心肌梗死预测
Ivan-Daniel Sievering,Ortal Senouf,Thabo Mahendiran et al.
Ivan-Daniel Sievering et al.
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed multimodal deep learning framework to pr...
Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level [0.03%]
基于心脏诱发加速度和角速度的主动脉瓣狭窄患者分类算法
Chiara Romano,Emanuele Maiorana,Annunziata Nusca et al.
Chiara Romano et al.
Goal: To evaluate the suitability of seismocardiogram (SCG) and gyrocardiogram (GCG) recorded at the skin level to classify aortic stenosis (AS) patients from healthy volunteers, and to determine the optimal sensor position for the classifi...
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features [0.03%]
强化学习在重症监护中制定最优治疗策略的模型：心血管呼吸特征作用评估
Cristian Drudi,Maximiliano Mollura,Li-Wei H Lehman et al.
Cristian Drudi et al.
Goal: The purpose of this study is to evaluate the importance of cardiorespiratory variables within a Reinforcement Learning (RL) recommendation system aimed at establishing optimal strategies for drug treatment of septic patients in the in...
Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures [0.03%]
基于静态和动态信息测量的心血管和呼吸网络的高阶链接评估
Gorana Mijatovic,Laura Sparacino,Yuri Antonacci et al.
Gorana Mijatovic et al.
Goal: The network representation is becoming increasingly popular for the description of cardiovascular interactions based on the analysis of multiple simultaneously collected variables. However, the traditional methods to assess network li...
Scott Schoen Jr,Alexis Prasov,Ion Candel et al.
Scott Schoen Jr et al.
Assessment of trauma-induced hemorrhage with ultrasound is particularly challenging outside of the clinic, where its detection is crucial. The current clinical standard for hematoma detection - the focused assessment with sonography of trau...