Artificial Intelligence Medical Compendium

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

Showing 55,401 to 55,410 of 226,647 articles

Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications

arXiv Feb 2, 2026
The Sterile Processing and Distribution (SPD) department is responsible for cleaning, disinfecting, inspecting, and assembling surgical instruments between surgeries. Manual inspection and preparation of instrument trays is a time-consuming, error-pr... read more 
Robotics cs.AI cs.CV cs.LG

Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism

arXiv Feb 2, 2026
Current deep learning models for Multispectral and Hyperspectral Image Fusion (MS/HS fusion) are typically designed for fixed spectral bands and spatial scales, which limits their transferability across diverse sensors. To address this, we propose SS... read more 
Image and Video Processing cs.CV cs.MM

Physics Informed Generative AI Enabling Labour Free Segmentation For Microscopy Analysis

arXiv Feb 2, 2026
Semantic segmentation of microscopy images is a critical task for high-throughput materials characterisation, yet its automation is severely constrained by the prohibitive cost, subjectivity, and scarcity of expert-annotated data. While physics-based... read more 
Computer Vision and Pattern Recognition cond-mat.mtrl-sci cs.AI

FastPhysGS: Accelerating Physics-based Dynamic 3DGS Simulation via Interior Completion and Adaptive Optimization

arXiv Feb 2, 2026
Extending 3D Gaussian Splatting (3DGS) to 4D physical simulation remains challenging. Based on the Material Point Method (MPM), existing methods either rely on manual parameter tuning or distill dynamics from video diffusion models, limiting the gene... read more 
Computer Vision and Pattern Recognition

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models

arXiv Feb 2, 2026
While specialized detectors for AI-Generated Images (AIGI) achieve near-perfect accuracy on curated benchmarks, they suffer from a dramatic performance collapse in realistic, in-the-wild scenarios. In this work, we demonstrate that simplicity prevail... read more 
Computer Vision and Pattern Recognition

ObjEmbed: Towards Universal Multimodal Object Embeddings

arXiv Feb 2, 2026
Aligning objects with corresponding textual descriptions is a fundamental challenge and a realistic requirement in vision-language understanding. While recent multimodal embedding models excel at global image-text alignment, they often struggle with ... read more 
Computer Vision and Pattern Recognition

ObjEmbed: Towards Universal Multimodal Object Embeddings

arXiv Feb 2, 2026
Aligning objects with corresponding textual descriptions is a fundamental challenge and a realistic requirement in vision-language understanding. While recent multimodal embedding models excel at global image-text alignment, they often struggle with ... read more 
Computer Vision and Pattern Recognition

Mind-Brush: Integrating Agentic Cognitive Search and Reasoning into Image Generation

arXiv Feb 2, 2026
While text-to-image generation has achieved unprecedented fidelity, the vast majority of existing models function fundamentally as static text-to-pixel decoders. Consequently, they often fail to grasp implicit user intentions. Although emerging unifi... read more 
Computer Vision and Pattern Recognition

MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement

arXiv Feb 2, 2026
This paper focuses on a highly practical scenario: how to continue benefiting from the advantages of multi-modal image fusion under harsh conditions when only visible imaging sensors are available. To achieve this goal, we propose a novel concept of ... read more 
Computer Vision and Pattern Recognition

GDPR-Compliant Person Recognition in Industrial Environments Using MEMS-LiDAR and Hybrid Data

arXiv Feb 2, 2026
The reliable detection of unauthorized individuals in safety-critical industrial indoor spaces is crucial to avoid plant shutdowns, property damage, and personal hazards. Conventional vision-based methods that use deep-learning approaches for person ... read more 
Computer Vision and Pattern Recognition
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