Results 241 to 250 of about 13,692 (309)

Transforming Musculoskeletal Disorder Management With Multimodal AI Platform for Early Diagnosis, Self‐Screening, and Personalized Care

Med Research, EarlyView.
We developed a multimodal large language model‐enabled framework for the early detection, self‐screening, and personalized management of major musculoskeletal disorders, including osteoarthritis (OA), rheumatoid arthritis (RA), and osteoporosis (OP).
Pengyuan Xu, Guang Yang, Ge Zhang, Yafang Zhao, Pu Wan, Guiyun Zhou, Mengjie Jiang, Yixin Zhang, Zhaoyang Wang, Yichen Dai, Xiqing Zhao, Ziliang Fu, Ziyu Zheng, Ziyun Xu, Ruisi Dong, Xiaojie Xia, Duo Zhang, Yisheng He, Michael Moran, Qiguang Wang, Tim Woodfield, Khoon Lim, Tiantian Kong, Junnan Tang, Kang Tian, Kai Zhou, Hao Chi, Pengpeng Zhang, Jianhua Yang, Mingliang Zhang, Moyan Li, Yuan Cheng, Xiaolin Cui   +32 more
wiley   +1 more source

GMMAS: Glioma Multiparametric MRI Analysis System for Fully‐Automated Layered Tumor Diagnosis and Prognostic Evaluation

Medicine Advances, EarlyView.
We developed the Glioma Multiparametric MRI Analysis System (GMMAS), a fully automated platform that leverages multi‐task semi‐supervised learning to diagnose gliomas from multiparametric MRI images. It provides accurate tumor segmentation, subtyping, and prognostic predictions, offering a user‐friendly tool for clinicians to enhance diagnosis and ...
Yihao Liu, Zhihao Cui, Liming Li, Junjie You, Xinle Feng, Ruixuan Huang, Jianxin Wang, Xiangyu Wang, Qing Liu, Minghua Wu   +9 more
wiley   +1 more source

DeepSeek‐Lattice‐KG: A Compact Language Model With Knowledge Graph Augmentation for Lattice Structure Design

Materials Genome Engineering Advances, EarlyView.
DeepSeek‐Lattice‐KG integrates a domain‐adapted 14B LLM with a Neo4j lattice knowledge graph distilled from 50,000 papers. It analyzes queries, retrieves supporting subgraphs, and generates grounded answers; on a 2100‐question, six‐domain benchmark, it achieves 94.8% accuracy.
Zhiyang Shu, Chao Wang, Changsheng Feng, Feiyu Zhou, Xueyan Chen, Yan Chen, Yilun Liu   +6 more
wiley   +1 more source

Associative and categorical priming in a word-picture paradigm: a diffusion model analysis. [PDF]

Psychol Res
Gao S, Marberg I, Berger A, Voss A.
europepmc   +1 more source

QGeoSEP: A Novel Multi‐Task Learning Framework Integrating Quantum, Geometric, and Semantic Features for Collaborative Prediction of Multiple Properties With Potential Application to Energetic Materials

Materials Genome Engineering Advances, EarlyView.
We introduce QGeoSEP, a multi‐task learning framework for accurate energetic material property prediction, with competitive performance against mainstream baselines and an accessible online tool for efficient molecular evaluation. ABSTRACT Accurate physicochemical property prediction is critical for the rational design of energetic materials (EMs), yet
Mingchi Gao, Zhijiang Yang, Tengxin Huang, Yingjun Zhang, Liangliang Wang, Junjie Ding, Mingtian Li   +6 more
wiley   +1 more source

No Effects of Predictability on Word-Meaning Priming and Incidental Memory. [PDF]

J Cogn
Keller VG, Mak MHC, Cairney SA, Gaskell MG.   +3 more
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source