Bone fracture diagnosis is a critical aspect of sports medicine, where accurate and timely detection enables effective treatment and rapid recovery. This study proposes Deep-Fed, a federated deep learning framework for fracture diagnosis in athletes.... read more
Deep learning provides new methods for crop pest and disease identification and control, offering unique advantages in terms of recognition accuracy and efficiency. However, deep learning models generally lack interpretability, and their internal dec... read more
Aspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis (ABSA), aiming to extract aspect terms, opinion terms, and the corresponding sentiment polarity from sentences. Many existing ASTE methods neglect to... read more
As artificial intelligence-generated content (AIGC) becomes increasingly integrated into creative practices, its application in public art-particularly in urban sculpture-raises fundamental questions regarding aesthetic cognition, emotional engagemen... read more
BACKGROUND: Eosinophilic esophagitis (EoE) and its related subtypes-such as EoE-like esophagitis, lymphocytic esophagitis, and nonspecific esophagitis-pose significant diagnostic challenges due to overlapping clinical, histological, and endoscopic fe... read more
Software Requirement Document (RD) typically contains tens of thousands of individual requirements, and ensuring consistency among these requirements is a critical prerequisite for the success of software engineering projects. Automated detection met... read more
Cardiovascular disease remains the predominant cause of global morbidity and mortality, with recent epidemiological trends indicating a resurgence in adverse outcomes. Conventional imaging modalities-including coronary computed tomography angiography... read more
Mapping behavior of individual vertebrate animals across lifespan could provide an unprecedented view into the lifelong process of aging. We created a platform for high-resolution continuous behavioral tracking of the African killifish across natural... read more
PURPOSE: We evaluated the alterations of applying artificial intelligence (AI) diagnostic system for diabetic retinopathy (DR) screening in real-world practice. METHODS: This retrospective study included 11,713 diabetic patients from the government-l... read more
MOF-derived heteroatom-doped porous carbons hold strong potential for supercapacitor electrodes, yet their optimization is hindered by complex coupling among pore geometry, composition, and electrochemical behavior. To clarify these structure-perform... read more
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