Artificial Intelligence Medical Compendium

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

Showing 46,641 to 46,650 of 224,199 articles

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs

arXiv Feb 26, 2026
Multimodal LLMs can process speech and images, but they cannot hear a speaker's voice or see an object's texture. We show this is not a failure of encoding: speaker identity, emotion, and visual attributes survive through every LLM layer (3--55$\time... read more 
Computation and Language cs.AI cs.LG

AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios

arXiv Feb 26, 2026
Real-world multimodal agents solve multi-step workflows grounded in visual evidence. For example, an agent can troubleshoot a device by linking a wiring photo to a schematic and validating the fix with online documentation, or plan a trip by interpre... read more 
Computer Vision and Pattern Recognition

Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration

arXiv Feb 26, 2026
Despite substantial advances in all-in-one image restoration for addressing diverse degradations within a unified model, existing methods remain vulnerable to out-of-distribution degradations, thereby limiting their generalization in real-world scena... read more 
Computer Vision and Pattern Recognition

Uni-Animator: Towards Unified Visual Colorization

arXiv Feb 26, 2026
We propose Uni-Animator, a novel Diffusion Transformer (DiT)-based framework for unified image and video sketch colorization. Existing sketch colorization methods struggle to unify image and video tasks, suffering from imprecise color transfer with s... read more 
Computer Vision and Pattern Recognition

FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification

arXiv Feb 26, 2026
Compressing neural networks by quantizing model parameters offers useful trade-off between performance and efficiency. Methods like quantization-aware training and post-training quantization strive to maintain the downstream performance of compressed... read more 
Computer Vision and Pattern Recognition cs.LG

Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language

arXiv Feb 26, 2026
Modern machine learning models are deployed in diverse, non-stationary environments where they must continually adapt to new tasks and evolving knowledge. Continual fine-tuning and in-context learning are costly and brittle, whereas neural memory met... read more 
Machine Learning

ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation

arXiv Feb 26, 2026
Colonoscopy video generation delivers dynamic, information-rich data critical for diagnosing intestinal diseases, particularly in data-scarce scenarios. High-quality video generation demands temporal consistency and precise control over clinical attr... read more 
Computer Vision and Pattern Recognition cs.AI

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction

arXiv Feb 26, 2026
Plug-and-Play diffusion prior (PnPDP) frameworks have emerged as a powerful paradigm for solving imaging inverse problems by treating pretrained generative models as modular priors. However, we identify a critical flaw in prevailing PnP solvers (e.g.... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV

UniScale: Unified Scale-Aware 3D Reconstruction for Multi-View Understanding via Prior Injection for Robotic Perception

arXiv Feb 26, 2026
We present UniScale, a unified, scale-aware multi-view 3D reconstruction framework for robotic applications that flexibly integrates geometric priors through a modular, semantically informed design. In vision-based robotic navigation, the accurate ex... read more 
Computer Vision and Pattern Recognition cs.RO

MovieTeller: Tool-augmented Movie Synopsis with ID Consistent Progressive Abstraction

arXiv Feb 26, 2026
With the explosive growth of digital entertainment, automated video summarization has become indispensable for applications such as content indexing, personalized recommendation, and efficient media archiving. Automatic synopsis generation for long-f... read more 
Computer Vision and Pattern Recognition cs.AI
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