The widespread adoption of large language model-assisted writing across society [0.03%]
全社会广泛采用大语境模型辅助写作
Weixin Liang,Yaohui Zhang,Mihai Codreanu et al.
Weixin Liang et al.
This paper systematically analyzes the adoption of large language models (LLMs), such as ChatGPT, across consumer complaints, corporate press releases, job postings, and United Nations (UN) press releases, covering extensive datasets from J...
A multimodal LLM-agent framework for personalized clinical decision-making in hepatocellular carcinoma [0.03%]
一种用于肝细胞癌个性化临床决策的多模态LLM-代理框架
Liyang Wang,Fa Tian,Chengquan Li et al.
Liyang Wang et al.
Hepatocellular carcinoma (HCC) treatment is challenging due to tumor heterogeneity and patient variability. Current guidelines often overlook individual factors, limiting treatment precision. We developed an integrated framework combining r...
Alexandros Christopoulos,Athina Tzovara
Alexandros Christopoulos
Sleep is one of the most essential parts of our daily lives. The gold standard for studying sleep is polysomnography (PSG) recordings. The first step of analyzing PSG recordings involves splitting them into sleep stages, which is performed ...
Juli Bakagianni,Kanella Pouli,Maria Gavriilidou et al.
Juli Bakagianni et al.
Comprehensive monolingual natural language processing (NLP) surveys are essential for assessing language-specific challenges, resource availability, and research gaps. However, existing surveys often lack standardized methodologies, leading...
Plug-and-play computational method for advancing natural and biomedical image representation [0.03%]
一种用于推进自然和生物医学图像表示的即插即用计算方法
Haifan Gong,Tianyu Han,Guanbin Li
Haifan Gong
Visual information is central to human perception, and how we represent images critically shapes downstream analysis. While recent years have witnessed remarkable advances in deep learning for image processing, Valous et al. now introduce a...
Coordination of network heterogeneity and individual preferences promotes collective fairness [0.03%]
网络异质性和个体偏好的协调促进集体公平性
Xiao Han,Shangmei Ma,Wen-Xu Wang et al.
Xiao Han et al.
There are intensive debates about whether heterogeneous networks promote prosocial behaviors such as fairness and cooperation. Theoretical models predict that network heterogeneity plays a positive role, but this prediction has not been val...
Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold [0.03%]
基于协同的神经流形学习解码大脑信号中的多关节手部动作
Huaqin Sun,Zhengyi Wang,Yu Qi et al.
Huaqin Sun et al.
Brain-computer interfaces have shown great potential in the reconstruction of motor functions. However, decoding complex and natural movements, such as hand movements, remains challenging. Traditional approaches primarily decode the movemen...
Data-driven discovery of medication effects on blood glucose from electronic health records [0.03%]
基于电子健康记录的药物影响血糖的数据驱动发掘
Amanda Momenzadeh,Caleb Cranney,So Yung Choi et al.
Amanda Momenzadeh et al.
Blood glucose (BG) in hospitalized patients is influenced by numerous clinical factors, including medications not traditionally associated with glycemic control. To better characterize these effects, we analyzed electronic health record dat...
Computational workflows for natural and biomedical image processing based on hypercomplex algebras [0.03%]
基于超复数代数的自然和生物医学图像处理计算工作流
Nektarios A Valous,Eckhard Hitzer,Dragoş Duşe et al.
Nektarios A Valous et al.
Quaternions, a type of hypercomplex number, can be applied to handling three-dimensional data, i.e., color images. Here, we demonstrate, by leveraging quaternions and the two-dimensional orthogonal planes split framework, image processing w...
Is AI overhyped? [0.03%]
AI被过度高估了吗？
Jason H Moore,Anand K Gavai,Yingji Xia et al.
Jason H Moore et al.
In this People of Data, we asked five researchers, including three members of the journal's advisory board, whether they feel AI technologies are currently overhyped. Their responses reveal both optimism about the future impact of these tec...