Artificial Intelligence Medical Compendium

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

Showing 50,941 to 50,950 of 225,062 articles

TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex

arXiv Feb 12, 2026
The brain interprets visual information through learned regularities, a computation formalized as probabilistic inference under a prior. The visual cortex establishes priors for this inference, some delivered through established top-down connections ... read more 
Neurons and Cognition cs.AI cs.LG

Are Two LLMs Better Than One? A Student-Teacher Dual-Head LLMs Architecture for Pharmaceutical Content Optimization

arXiv Feb 12, 2026
Large language models (LLMs) are increasingly used to create content in regulated domains such as pharmaceuticals, where outputs must be scientifically accurate and legally compliant. Manual quality control (QC) is slow, error prone, and can become a... read more 
Machine Learning

Calibrated Bayesian Deep Learning for Explainable Decision Support Systems Based on Medical Imaging

arXiv Feb 12, 2026
In critical decision support systems based on medical imaging, the reliability of AI-assisted decision-making is as relevant as predictive accuracy. Although deep learning models have demonstrated significant accuracy, they frequently suffer from mis... read more 
Computer Vision and Pattern Recognition cs.LG

Spatial Chain-of-Thought: Bridging Understanding and Generation Models for Spatial Reasoning Generation

arXiv Feb 12, 2026
While diffusion models have shown exceptional capabilities in aesthetic image synthesis, they often struggle with complex spatial understanding and reasoning. Existing approaches resort to Multimodal Large Language Models (MLLMs) to enhance this capa... read more 
Computer Vision and Pattern Recognition

Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn Resuscitation

arXiv Feb 12, 2026
Accurate documentation of newborn resuscitation is essential for quality improvement and adherence to clinical guidelines, yet remains underutilized in practice. Previous work using 3D-CNNs and Vision Transformers (ViT) has shown promising results in... read more 
Computer Vision and Pattern Recognition

Projected Representation Conditioning for High-fidelity Novel View Synthesis

arXiv Feb 12, 2026
We propose a novel framework for diffusion-based novel view synthesis in which we leverage external representations as conditions, harnessing their geometric and semantic correspondence properties for enhanced geometric consistency in generated novel... read more 
Computer Vision and Pattern Recognition

A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments

arXiv Feb 12, 2026
Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR) imaging above... read more 
Computer Vision and Pattern Recognition

A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments

arXiv Feb 12, 2026
Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR) imaging above... read more 
Computer Vision and Pattern Recognition

Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and Communication

arXiv Feb 12, 2026
As multi-agent AI systems evolve from simple chatbots to autonomous swarms, debugging semantic failures requires reasoning about knowledge, belief, causality, and obligation, precisely what modal logic was designed to formalize. However, traditional ... read more 
Artificial Intelligence cs.LO

DeepSight: An All-in-One LM Safety Toolkit

arXiv Feb 12, 2026
As the development of Large Models (LMs) progresses rapidly, their safety is also a priority. In current Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) safety workflow, evaluation, diagnosis, and alignment are often handled... read more 
Computation and Language cs.AI cs.CR cs.CV
Popular Topics
Recent Journals