Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods [0.03%]
基于CNN的注意力预测方法在青光眼OCT报告中的应用研究
Mingyang Zang,Pooja Mukund,Britney Forsyth et al.
Mingyang Zang et al.
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education of ophthalmologists and ophtha...
Samuel Dolphin,Maren Downing,Mia Cirrincione et al.
Samuel Dolphin et al.
Braille is often proposed by the uninformed as the optimal solution to providing an alternative to visual information to the visually impaired. The purpose of this article is to highlight the complexity of the braille user population and di...
The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs [0.03%]
碳离子放射治疗中次级粒子对植入人体的电子产品软错误的影响
Yudai Kawakami,Makoto Sakai,Hiroaki Masuda et al.
Yudai Kawakami et al.
Introduction: While carbon ion radiotherapy is highly effective in cancer treatment, it has a high risk of causing soft error, which leads to malfunctions in cardiac implantable electrical devices (CIEDs). To predict the risk of malfunction...
Matteo B Lodi,Antonios Makridis,Konstantina Kazeli et al.
Matteo B Lodi et al.
Goal: Deep-seated tumors (DST) can be treated using thermoseeds exposed to a radiofrequency magnetic field for performing local interstitial hyperthermia treatment (HT). Several research efforts were oriented to the manufacturing of novel b...
SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin [0.03%]
智能FSCV：一种针对血清素的人工智能微型FSCV设备
Dean M Corva,Egan H Doeven,Brenna Parke et al.
Dean M Corva et al.
Goal: Dynamically monitoring serotonin in real-time within target brain regions would significantly improve the diagnostic and therapeutic approaches to a variety of neurological and psychiatric disorders. Current systems for measuring sero...
Harry J Davies,Ghena Hammour,Hongjian Xiao et al.
Harry J Davies et al.
The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techn...
Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics [0.03%]
有限元仿真验证用于预测个体膝关节运动学特性
Elin Theilen,Anna Rorich,Thomas Lange et al.
Elin Theilen et al.
Goal: We introduce an in-vivo validated finite element (FE) simulation approach for predicting individual knee joint kinematics. Our vision is to improve clinicians' understanding of the complex individual anatomy and potential pathologies ...
The Number of Microbubbles Generated During Cardiopulmonary Bypass Can Be Estimated Using Machine Learning From Suction Flow Rate, Venous Reservoir Level, Perfusion Flow Rate, Hematocrit Level, and Blood Temperature [0.03%]
体外循环过程中产生的微气泡数量可以从吸引流速，静脉储血槽水平，灌注流速，红细胞压积水平和血液温度使用机器学习进行估算
Satoshi Miyamoto,Zu Soh,Shigeyuki Okahara et al.
Satoshi Miyamoto et al.
Goal: Microbubbles (MBs) are known to occur within the circuits of cardiopulmonary bypass (CPB) systems, and higher-order dysfunction after cardiac surgery may be caused by MBs as well as atheroma dispersal associated wit...
Microfluidic Delivery of High Viscosity Liquids Using Piezoelectric Micropumps for Subcutaneous Drug Infusion Applications [0.03%]
用于皮下药物输液的压电微泵输送高粘度液体的微流控技术
Nivedha Surendran,Claudia Patricia Durasiewicz,Thalia Hoffmann et al.
Nivedha Surendran et al.
Goal: Auto-injectors for self-administration of drugs are usually refrigerated. If not warmed up prior to the injection, ejection of the total drug volume is not guaranteed, as their spring and plunger mechanism cannot adjust for a change i...
Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development [0.03%]
基于智能手机的距离估计方法在视觉辅助技术研发中的准确性与可用性研究
Giles Hamilton-Fletcher,Mingxin Liu,Diwei Sheng et al.
Giles Hamilton-Fletcher et al.
Goal: Distance information is highly requested in assistive smartphone Apps by people who are blind or low vision (PBLV). However, current techniques have not been evaluated systematically for accuracy and usability. Methods: We tested five...