Artificial Intelligence Medical Compendium

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

Showing 45,851 to 45,860 of 224,055 articles

Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift

arXiv
Federated learning (FL) in post-deployment settings must adapt to non-stationary data streams across heterogeneous clients without access to ground-truth labels. A major challenge is learning rate selection under client-specific, time-varying distrib... read more 

A level-wise training scheme for learning neural multigrid smoothers with application to integral equations

arXiv
Convolution-type integral equations commonly occur in signal processing and image processing. Discretizing these equations yields large and ill-conditioned linear systems. While the classic multigrid method is effective for solving linear systems der... read more 

LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model

arXiv
We present \textbf{LLaDA-o}, an effective and length-adaptive omni diffusion model for multimodal understanding and generation. LLaDA-o is built on a Mixture of Diffusion (MoD) framework that decouples discrete masked diffusion for text understanding... read more 

Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration

arXiv
Diffusion-based unsupervised image registration has been explored for cardiac cine MR, but expensive multi-step inference limits practical use. We propose FlowReg, a flow-matching framework in displacement field space that achieves strong registratio... read more 

Unified Vision-Language Modeling via Concept Space Alignment

arXiv
We introduce V-SONAR, a vision-language embedding space extended from the text-only embedding space SONAR (Omnilingual Embeddings Team et al., 2026), which supports 1500 text languages and 177 speech languages. To construct V-SONAR, we propose a post... read more 

Differential privacy representation geometry for medical image analysis

arXiv
Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end performance, leaving the mechanism of privacy-induced utility loss unclear. We introduce Differential Privacy Representation Geometry for Medical Ima... read more 

HeroGS: Hierarchical Guidance for Robust 3D Gaussian Splatting under Sparse Views

arXiv
3D Gaussian Splatting (3DGS) has recently emerged as a promising approach in novel view synthesis, combining photorealistic rendering with real-time efficiency. However, its success heavily relies on dense camera coverage; under sparse-view condition... read more 

Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting

arXiv
Many creative multimedia systems are built upon visual primitives such as strokes or textures, which are difficult to collect at scale and fundamentally different from natural image data. This data scarcity makes it challenging for modern generative ... read more 

Egocentric Co-Pilot: Web-Native Smart-Glasses Agents for Assistive Egocentric AI

arXiv
What if accessing the web did not require a screen, a stable desk, or even free hands? For people navigating crowded cities, living with low vision, or experiencing cognitive overload, smart glasses coupled with AI agents could turn the web into an a... read more 

GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation

arXiv
Clinically reliable perception of surgical scenes is essential for advancing intelligent, context-aware intraoperative assistance such as instrument handoff guidance, collision avoidance, and workflow-aware robotic support. Existing surgical tool ben... read more