Applications of extended reality in pilot flight simulator training: a systematic review with meta-analysis [0.03%]
扩展现实技术在飞行员飞行模拟训练中的应用：系统回顾与元分析
Alexander Somerville,Keith Joiner,Timothy Lynar et al.
Alexander Somerville et al.
The use of extended reality (XR) spectrum technologies as substitutes to augment traditional simulators in pilot flight training has received significant interest in recent times. A systematic review was conducted to evaluate the efficacy o...
KaiBiLi: gesture-based immersive virtual reality ceremony for traditional Chinese cultural activities [0.03%]
基于手势的沉浸式虚拟现实典礼促进中国传统民俗活动传承——以祭孔大典为例
Yiping Wu,Yue Li,Eugene Ch&#x;ng et al.
Yiping Wu et al.
Gesture-based interactions in a virtual reality (VR) setting can enhance our experience of traditional practices as part of preserving and communicating heritage. Cultural experiences embodied within VR environments are suggested to be an e...
Application of artificial intelligence in assisting treatment of gynecologic tumors: a systematic review [0.03%]
人工智能辅助妇科肿瘤治疗的应用：系统综述
Loufei Guo,Shuaitong Zhang,Hongbo Chen et al.
Loufei Guo et al.
In recent years, the application of artificial intelligence (AI) in medical image analysis has drawn increasing attention in clinical studies of gynecologic tumors. This study presents the development and prospects of AI applications to ass...
Development and validation of a machine learning model for predicting venous thromboembolism complications following colorectal cancer surgery [0.03%]
结直肠癌手术后静脉血栓栓塞并发症的机器学习模型的开发和验证
Zongsheng Sun,Di Hao,Mingyu Yang et al.
Zongsheng Sun et al.
Postoperative venous thromboembolism (VTE) in colorectal cancer (CRC) patients undergoing surgery results in poor prognosis. However, there are no effective tools for early screening and predicting VTE. In this study, we developed a machine...
Lightweight and mobile artificial intelligence and immersive technologies in aviation [0.03%]
航空领域的轻量级和移动人工智能及沉浸式技术
Graham Wild,Aziida Nanyonga,Anam Iqbal et al.
Graham Wild et al.
This review examines the current applications, benefits, challenges, and future potential of artificial intelligence (AI) and immersive aviation technologies. AI has been applied across various domains, including flight operations, air traf...
Multimodal dynamic hierarchical clustering model for post-stroke cognitive impairment prediction [0.03%]
基于多模态数据的动态分层聚类模型用于卒中后认知障碍预测
Chen Bai,Tan Li,Yanyan Zheng et al.
Chen Bai et al.
Post-stroke cognitive impairment (PSCI) is a common and debilitating consequence of stroke that often arises from complex interactions between diverse brain alterations. The accurate early prediction of PSCI is critical for guiding personal...
Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study [0.03%]
基于弹性成像的深度学习影像组学在肝硬化诊断中的应用：一项国际多中心研究
Xue Lu,Haoyan Zhang,Hidekatsu Kuroda et al.
Xue Lu et al.
Accurate, noninvasive diagnosis of compensated advanced chronic liver disease (cACLD) is essential for effective clinical management but remains challenging. This study aimed to develop a deep learning-based radiomics model using internatio...
Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking [0.03%]
基于图神经网络的多传感器融合无人飞行器跟踪框架
Karim Dabbabi,Tijeni Delleji
Karim Dabbabi
Unmanned aerial vehicle (UAV) tracking is a critical task in surveillance, security, and autonomous navigation applications. In this study, we propose graph neural network-tracker (GNN-tracker), a novel GNN-based UAV tracking framework that...
Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging [0.03%]
胎盘分割重新定义：基于深度学习的磁共振与超声影像融合综述
Asmaa Jittou,Khalid El Fazazy,Jamal Riffi
Asmaa Jittou
Placental segmentation is critical for the quantitative analysis of prenatal imaging applications. However, segmenting the placenta using magnetic resonance imaging (MRI) and ultrasound is challenging because of variations in fetal position...
Active interaction strategy generation for human-robot collaboration based on trust [0.03%]
基于信任的人机协作中主动交互策略生成方法研究
Yujie Guo,Pengfei Yi,Xiaopeng Wei et al.
Yujie Guo et al.
In human-robot collaborative tasks, human trust in robots can reduce resistance to them, thereby increasing the success rate of task execution. However, most existing studies have focused on improving the success rate of human-robot collabo...