Artificial Intelligence Medical Compendium

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

Showing 28,631 to 28,640 of 219,260 articles

Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning

arXiv Apr 20, 2026
Accurate prognostication and risk estimation are essential for guiding clinical decision-making and optimizing patient management. While radiologist-assessed features from CT scans provide valuable indicators of disease severity and outcomes, interpr... read more 
Computer Vision and Pattern Recognition

Style-Based Neural Architectures for Real-Time Weather Classification

arXiv Apr 20, 2026
In this paper, we present three neural network architectures designed for real-time classification of weather conditions (sunny, rain, snow, fog) from images. These models, inspired by recent advances in style transfer, aim to capture the stylistic e... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG stat.AP

Domain-Specialized Object Detection via Model-Level Mixtures of Experts

arXiv Apr 20, 2026
Mixture-of-Experts (MoE) models provide a structured approach to combining specialized neural networks and offer greater interpretability than conventional ensembles. While MoEs have been successfully applied to image classification and semantic segm... read more 
Computer Vision and Pattern Recognition cs.LG

Long-Text-to-Image Generation via Compositional Prompt Decomposition

arXiv Apr 20, 2026
While modern text-to-image (T2I) models excel at generating images from intricate prompts, they struggle to capture the key details when the inputs are descriptive paragraphs. This limitation stems from the prevalence of concise captions that shape t... read more 
Computer Vision and Pattern Recognition cs.AI

Geometry-Guided 3D Visual Token Pruning for Video-Language Models

arXiv Apr 20, 2026
Multimodal large language models have demonstrated remarkable capabilities in 2D vision, motivating their extension to 3D scene understanding. Recent studies represent 3D scenes as 3D spatial videos composed of image sequences with depth and camera p... read more 
Computer Vision and Pattern Recognition

Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics

arXiv Apr 20, 2026
The most common cause of dementia is Alzheimer disease, a progressive neurodegenerative disorder affecting older adults that gradually impairs memory, cognition, and behavior. It is characterized by the accumulation of abnormal proteins in the brain,... read more 
Other Quantitative Biology cs.LG

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation

arXiv Apr 20, 2026
Recent advancements in audio-video joint generation models have demonstrated impressive capabilities in content creation. However, generating high-fidelity human-centric videos in complex, real-world physical scenes remains a significant challenge. W... read more 
Computer Vision and Pattern Recognition

LBFTI: Layer-Based Facial Template Inversion for Identity-Preserving Fine-Grained Face Reconstruction

arXiv Apr 20, 2026
In face recognition systems, facial templates are widely adopted for identity authentication due to their compliance with the data minimization principle. However, facial template inversion technologies have posed a severe privacy leakage risk by ena... read more 
Computer Vision and Pattern Recognition

Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals

arXiv Apr 20, 2026
Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms such as tremor, bradykinesia, postural instability, freezing of gait (FoG). PD is currently diagnosed clinically through physical exam by health-care pr... read more 
Machine Learning

Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation

arXiv Apr 20, 2026
In text-to-image person retrieval tasks, the diversity of natural language expressions and the implicitness of visual semantics often lead to the problem of Expression Drift, where semantically equivalent texts exhibit significant feature discrepanci... read more 
Computer Vision and Pattern Recognition
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