Artificial Intelligence Medical Compendium

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

Showing 45,871 to 45,880 of 224,055 articles

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification

arXiv Mar 1, 2026
Accurate classification of hyperspectral imagery (HSI) is often frustrated by the tension between high-dimensional spectral data and the extreme scarcity of labeled training samples. While hierarchical models like LoLA-SpecViT have demonstrated the p... read more 
Computer Vision and Pattern Recognition

RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations

arXiv Mar 1, 2026
Human perceive the 3D world through 2D observations from limited viewpoints. While recent feed-forward generalizable 3D reconstruction models excel at recovering 3D structures from sparse images, their representations are often confined to observed r... read more 
Computer Vision and Pattern Recognition

Monocular 3D Object Position Estimation with VLMs for Human-Robot Interaction

arXiv Mar 1, 2026
Pre-trained general-purpose Vision-Language Models (VLM) hold the potential to enhance intuitive human-machine interactions due to their rich world knowledge and 2D object detection capabilities. However, VLMs for 3D coordinates detection tasks are r... read more 
Computer Vision and Pattern Recognition cs.AI cs.HC cs.LG cs.RO

Towards Policy-Adaptive Image Guardrail: Benchmark and Method

arXiv Mar 1, 2026
Accurate rejection of sensitive or harmful visual content, i.e., harmful image guardrail, is critical in many application scenarios. This task must continuously adapt to the evolving safety policies and content across various domains and over time. H... read more 
Computer Vision and Pattern Recognition

AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

arXiv Mar 1, 2026
Large Vision-Language Models (LVLMs) have adopted visual token pruning strategies to mitigate substantial computational overhead incurred by extensive visual token sequences. While prior works primarily focus on either attention-based or diversity-ba... read more 
Computer Vision and Pattern Recognition cs.LG

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

arXiv Mar 1, 2026
Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause of cancer-related mortality. Dynamic contrast-enhanced magnetic resonance imaging plays a central role in tumor characterization and treatment monitor... read more 
Computer Vision and Pattern Recognition cs.AI

Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography

arXiv Mar 1, 2026
Diffusion models have emerged as powerful priors for solving inverse problems in computed tomography (CT). In certain applications, such as neutron CT, it can be expensive to collect large amounts of measurements even for a single scan, leading to sp... read more 
Computer Vision and Pattern Recognition

When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains

arXiv Mar 1, 2026
Reinforcement learning (RL) is increasingly used to post-train medical Vision-Language Models (VLMs), yet it remains unclear whether RL improves medical visual reasoning or mainly sharpens behaviors already induced by supervised fine-tuning (SFT). We... read more 
Computer Vision and Pattern Recognition

AG-VAS: Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models

arXiv Mar 1, 2026
Large multimodal models (LMMs) exhibit strong task generalization capabilities, offering new opportunities for zero-shot visual anomaly segmentation (ZSAS). However, existing LMM-based segmentation approaches still face fundamental limitations: anoma... read more 
Computer Vision and Pattern Recognition cs.AI

Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent

arXiv Mar 1, 2026
The discovery of novel catalysts tailored for particular applications is a major challenge for the twenty-first century. Traditional methods for this include time-consuming and expensive experimental trial-and-error approaches in labs based on chemic... read more 
Computation and Language
Popular Topics
Recent Journals