Artificial Intelligence Medical Compendium

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

Showing 43,431 to 43,440 of 224,055 articles

SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding

arXiv Mar 10, 2026
Surgical scene Multi-Task Federated Learning (MTFL) is essential for robot-assisted minimally invasive surgery (RAS) but remains underexplored in surgical video understanding due to two key challenges: (1) Tissue Diversity: Local models struggle to a... read more 
Computer Vision and Pattern Recognition

Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance Navigation

arXiv Mar 10, 2026
Text-goal instance navigation (TGIN) asks an agent to resolve a single, free-form description into actions that reach the correct object instance among same-category distractors. We present \textit{Context-Nav} that elevates long, contextual captions... read more 
Computer Vision and Pattern Recognition cs.RO

Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance Navigation

arXiv Mar 10, 2026
Text-goal instance navigation (TGIN) asks an agent to resolve a single, free-form description into actions that reach the correct object instance among same-category distractors. We present \textit{Context-Nav} that elevates long, contextual captions... read more 
Computer Vision and Pattern Recognition cs.RO

TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge

arXiv Mar 10, 2026
On-device tuning of deep neural networks enables long-term adaptation at the edge while preserving data privacy. However, the high computational and memory demands of backpropagation pose significant challenges for ultra-low-power, memory-constrained... read more 
Hardware Architecture cs.LG

DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation

arXiv Mar 10, 2026
Accurate medical image segmentation requires effective modeling of both long-range dependencies and fine-grained boundary details. While transformers mitigate the issue of insufficient semantic information arising from the limited receptive field inh... read more 
Computer Vision and Pattern Recognition

Association of Radiologic PPFE Change with Mortality in Lung Cancer Screening Cohorts

arXiv Mar 10, 2026
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnormality associated with increased mortality in established interstitial lung disease. However, the clinical significance of radiologic PPFE progression... read more 
Quantitative Methods cs.CV eess.IV stat.AP

Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization

arXiv Mar 10, 2026
Unified vision-language models have made significant progress in multimodal understanding and generation, yet they largely fall short in producing multimodal interleaved outputs, which is a crucial capability for tasks like visual storytelling and st... read more 
Computer Vision and Pattern Recognition

A comprehensive study of time-of-flight non-line-of-sight imaging

arXiv Mar 10, 2026
Time-of-Flight non-line-of-sight (ToF NLOS) imaging techniques provide state-of-the-art reconstructions of scenes hidden around corners by inverting the optical path of indirect photons scattered by visible surfaces and measured by picosecond resolut... read more 
Computer Vision and Pattern Recognition cs.GR

GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning

arXiv Mar 10, 2026
Vision-language pretraining models have made significant progress in bridging remote sensing imagery with natural language. However, existing approaches often fail to effectively integrate multi-granular visual and textual information, relying primar... read more 
Computer Vision and Pattern Recognition

MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation

arXiv Mar 10, 2026
Non-negative matrix factorisation (NMF) is a widely used tool for unsupervised learning and feature extraction, with applications ranging from genomics to text analysis and signal processing. Standard formulations of NMF are typically derived under G... read more 
Machine Learning stat.ME stat.ML
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