Artificial Intelligence Medical Compendium

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

Showing 43,381 to 43,390 of 224,055 articles

Diffusion-Guided graph generation for multi-view semi-Supervised classification.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2026
A considerable number of research focus on multi-view learning because of its ability to obtain better representations. Although many variants of graph convolution have been well adapted to multi-view semi-supervised tasks, most of them are limited b... read more 

Bio-inspired small target detecting visual neural network with motion direction decoding compensation in large scene.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2026
Small target moving detection in a wide field of view and complex background is an extremely challenging task due to the small number of target pixels and interference from background noise. Surprisingly the visual systems of Drosophila accurately de... read more 

WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion

arXiv Mar 10, 2026
Weak spectral responses in hyperspectral images are often obscured by dominant endmembers and sensor noise, resulting in inaccurate abundance estimation. This paper introduces WS-Net, a deep unmixing framework specifically designed to address weak-si... read more 
Computer Vision and Pattern Recognition cs.AI

From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring

arXiv Mar 10, 2026
Background: Remote patient monitoring (RPM) generates vast data, yet landmark trials (Tele-HF, BEAT-HF) failed because data volume overwhelmed clinical staff. While TIM-HF2 showed 24/7 physician-led monitoring reduces mortality by 30%, this model rem... read more 
Artificial Intelligence cs.CL cs.LG

Spectral-Structured Diffusion for Single-Image Rain Removal

arXiv Mar 10, 2026
Rain streaks manifest as directional and frequency-concentrated structures that overlap across multiple scales, making single-image rain removal particularly challenging. While diffusion-based restoration models provide a powerful framework for progr... read more 
Computer Vision and Pattern Recognition

Intelligent Spatial Estimation for Fire Hazards in Engineering Sites: An Enhanced YOLOv8-Powered Proximity Analysis Framework

arXiv Mar 10, 2026
This study proposes an enhanced dual-model YOLOv8 framework for intelligent fire detection and proximity-aware risk assessment, extending conventional vision-based monitoring beyond simple detection to actionable hazard prioritization. The system is ... read more 
Computer Vision and Pattern Recognition

Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs

arXiv Mar 10, 2026
Multimodal large language models (MLLMs) can process text presented as images, yet they often perform worse than when the same content is provided as textual tokens. We systematically diagnose this "modality gap" by evaluating seven MLLMs across seve... read more 
Computation and Language cs.CV

MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration

arXiv Mar 10, 2026
Medical vision-language pretraining (VLP) models have recently been investigated for their generalization to diverse downstream tasks. However, current medical VLP methods typically force the model to learn simple and complex concepts simultaneously.... read more 
Computer Vision and Pattern Recognition

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations

arXiv Mar 10, 2026
Medical image retrieval aims to identify clinically relevant lesion cases to support diagnostic decision making, education, and quality control. In practice, retrieval queries often combine a reference lesion image with textual descriptors such as de... read more 
Computer Vision and Pattern Recognition cs.AI

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs

arXiv Mar 10, 2026
Vision-language pretraining has driven significant progress in medical image analysis. However, current methods typically supervise visual encoders using one-hot labels or free-form text, neither of which effectively captures the complex semantic rel... read more 
Computer Vision and Pattern Recognition cs.AI
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