Artificial Intelligence Medical Compendium

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

Showing 42,601 to 42,610 of 223,853 articles

Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis

arXiv Mar 11, 2026
Whole-Slide Images (WSIs) are widely used for estimating the prognosis of cancer patients. Current studies generally follow a cancer-specific learning paradigm. However, the available training samples for one cancer type are usually scarce in patholo... read more 
Computer Vision and Pattern Recognition

World Model for Battery Degradation Prediction Under Non-Stationary Aging

arXiv Mar 11, 2026
Degradation prognosis for lithium-ion cells requires forecasting the state-of-health (SOH) trajectory over future cycles. Existing data-driven approaches can produce trajectory outputs through direct regression, but lack a mechanism to propagate degr... read more 
Machine Learning eess.SY

UAV-MARL: Multi-Agent Reinforcement Learning for Time-Critical and Dynamic Medical Supply Delivery

arXiv Mar 11, 2026
Unmanned aerial vehicles (UAVs) are increasingly used to support time-critical medical supply delivery, providing rapid and flexible logistics during emergencies and resource shortages. However, effective deployment of UAV fleets requires coordinatio... read more 
Machine Learning cs.AI

DSFlash: Comprehensive Panoptic Scene Graph Generation in Realtime

arXiv Mar 11, 2026
Scene Graph Generation (SGG) aims to extract a detailed graph structure from an image, a representation that holds significant promise as a robust intermediate step for complex downstream tasks like reasoning for embodied agents. However, practical d... read more 
Computer Vision and Pattern Recognition

Prompting with the human-touch: evaluating model-sensitivity of foundation models for musculoskeletal CT segmentation

arXiv Mar 11, 2026
Promptable Foundation Models (FMs), initially introduced for natural image segmentation, have also revolutionized medical image segmentation. The increasing number of models, along with evaluations varying in datasets, metrics, and compared models, m... read more 
Computer Vision and Pattern Recognition cs.AI

Towards Cognitive Defect Analysis in Active Infrared Thermography with Vision-Text Cues

arXiv Mar 11, 2026
Active infrared thermography (AIRT) is currently witnessing a surge of artificial intelligence (AI) methodologies being deployed for automated subsurface defect analysis of high performance carbon fiber-reinforced polymers (CFRP). Deploying AI-based ... read more 
Computer Vision and Pattern Recognition cs.AI eess.SP

P-GSVC: Layered Progressive 2D Gaussian Splatting for Scalable Image and Video

arXiv Mar 11, 2026
Gaussian splatting has emerged as a competitive explicit representation for image and video reconstruction. In this work, we present P-GSVC, the first layered progressive 2D Gaussian splatting framework that provides a unified solution for scalable G... read more 
Computer Vision and Pattern Recognition cs.MM

PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation

arXiv Mar 11, 2026
PET/CT imaging is pivotal in oncology and nuclear medicine, yet summarizing complex findings into precise diagnostic impressions is labor-intensive. While LLMs have shown promise in medical text generation, their capability in the highly specialized ... read more 
Computer Vision and Pattern Recognition

UniStitch: Unifying Semantic and Geometric Features for Image Stitching

arXiv Mar 11, 2026
Traditional image stitching methods estimate warps from hand-crafted geometric features, whereas recent learning-based solutions leverage semantic features from neural networks instead. These two lines of research have largely diverged along separate... read more 
Computer Vision and Pattern Recognition

R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment

arXiv Mar 11, 2026
Immersive Computer Graphics (CGs) rendering has become ubiquitous in modern daily life. However, comprehensively evaluating CG quality remains challenging for two reasons: First, existing CG datasets lack systematic descriptions of rendering quality;... read more 
Computer Vision and Pattern Recognition cs.DB
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