Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 42,481 to 42,490 of 223,853 articles

Deep-Fed: A comprehensive solution for precise bone fracture identification in athletes.

PloS one
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 

Interpretable crop pest and disease identification based on comparative concept tree.

PloS one
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 

External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction.

PloS one
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 

Exploring the aesthetic cognition and artistic acceptance of AIGC-generated urban sculptures: A structural equation modeling and visual content analysis approach.

PloS one
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 

Molecular and immunological heterogeneity of eosinophilic esophagitis: Insights and subtyping.

PloS one
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 

A transfer learning approach for automatic conflicts detection in software requirement sentence pairs based on dual encoders.

PloS one
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 

Illuminating the Invisible: Translational Molecular Imaging in Cardiovascular Medicine.

Circulation research
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 

Lifelong behavioral screen reveals an architecture of vertebrate aging.

Science (New York, N.Y.)
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 

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan.

Retina (Philadelphia, Pa.)
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 

Machine-Learning and Atomic-Scale Mechanistic Insights for Designing Gradient Porous MOF-Derived Carbon Electrodes.

Inorganic chemistry
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