Artificial Intelligence Medical Compendium

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

Showing 24,821 to 24,830 of 217,472 articles

MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution

arXiv Apr 29, 2026
We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across domains, genres, and segments. For example, images and videos may alternate between text overlays, fast motion, smooth cartoons, and low-ligh... read more 
Computer Vision and Pattern Recognition cs.AI

OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction

arXiv Apr 29, 2026
Predicting social media popularity requires understanding both the intrinsic appeal of content and the external context that determines how it is exposed to users. Existing methods focus on content signals but do not separate them from exposure-relat... read more 
Computer Vision and Pattern Recognition

High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification

arXiv Apr 29, 2026
Recently, Hyperspectral Image (HSI) classification has attracted increasing attention in remote sensing. However, HSI data are inherently high-dimensional but low-rank, with discriminative information concentrated on a low-dimensional latent manifold... read more 
Computer Vision and Pattern Recognition

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution

arXiv Apr 29, 2026
High-precision medical diagnosis relies not only on static imaging features but also on the implicit diagnostic memory experts instantly invoke during image interpretation. We pinpoint a fundamental cognitive misalignment in medical VLMs caused by di... read more 
Computer Vision and Pattern Recognition cs.AI

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

arXiv Apr 29, 2026
Chest X-ray interpretation is one of the most frequently performed diagnostic tasks in medicine and a primary target for AI development, yet current vision--language models are primarily trained on datasets of paired images and reports, not the cogni... read more 
Computer Vision and Pattern Recognition cs.AI

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

arXiv Apr 29, 2026
Chest X-ray interpretation is one of the most frequently performed diagnostic tasks in medicine and a primary target for AI development, yet current vision-language models are primarily trained on datasets of paired images and reports, not the cognit... read more 
Computer Vision and Pattern Recognition cs.AI

NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics

arXiv Apr 29, 2026
Optimization algorithms are fundamental to modern deep learning, yet most widely used methods rely on update rules based primarily on local gradient statistics. We introduce NeuroPlastic, a plasticity-modulated optimizer that augments gradient-based ... read more 
Machine Learning

The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches

arXiv Apr 29, 2026
The vulnerabilities of deep neural networks against singularities have raised serious concerns regarding their deployment in the physical world. One of the most prominent and impactful physical-world adversarial perturbations is the attachment of pat... read more 
Computer Vision and Pattern Recognition

Motion-Driven Multi-Object Tracking of Model Organisms in Space Science Experiments

arXiv Apr 29, 2026
Automated animal behavior analysis relies on long-term, interpretable individual trajectories; however, multi-animal tracking in space science experimental videos remains highly challenging due to weak appearance cues, low-quality imaging, complex ma... read more 
Computer Vision and Pattern Recognition

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

arXiv Apr 29, 2026
Exploiting deep learning in medical imaging faces critical challenges, including strict privacy constraints, heterogeneous imaging devices with varying acquisition properties, and class imbalance due to the uneven prevalence of pathologies. In this w... read more 
Computer Vision and Pattern Recognition
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