Artificial Intelligence Medical Compendium

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

Showing 50,511 to 50,520 of 225,062 articles

ARport: An Augmented Reality System for Markerless Image-Guided Port Placement in Robotic Surgery

arXiv Feb 15, 2026
Purpose: Precise port placement is a critical step in robot-assisted surgery, where port configuration influences both visual access to the operative field and instrument maneuverability. To bridge the gap between preoperative planning and intraopera... read more 
Computer Vision and Pattern Recognition

When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance

arXiv Feb 15, 2026
Text-driven image and video editing can be naturally cast as inpainting problems, where masked regions are reconstructed to remain consistent with both the observed content and the editing prompt. Recent advances in test-time guidance for diffusion a... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Index Light, Reason Deep: Deferred Visual Ingestion for Visual-Dense Document Question Answering

arXiv Feb 15, 2026
Existing multimodal document question answering methods universally adopt a supply-side ingestion strategy: running a Vision-Language Model (VLM) on every page during indexing to generate comprehensive descriptions, then answering questions through t... read more 
Computation and Language cs.CV cs.IR

Towards Spatial Transcriptomics-driven Pathology Foundation Models

arXiv Feb 15, 2026
Spatial transcriptomics (ST) provides spatially resolved measurements of gene expression, enabling characterization of the molecular landscape of human tissue beyond histological assessment as well as localized readouts that can be aligned with morph... read more 
Computer Vision and Pattern Recognition cs.AI

UniWeTok: An Unified Binary Tokenizer with Codebook Size $\mathit{2^{128}}$ for Unified Multimodal Large Language Model

arXiv Feb 15, 2026
Unified Multimodal Large Language Models (MLLMs) require a visual representation that simultaneously supports high-fidelity reconstruction, complex semantic extraction, and generative suitability. However, existing visual tokenizers typically struggl... read more 
Computer Vision and Pattern Recognition cs.AI

UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing

arXiv Feb 15, 2026
We present UniRef-Image-Edit, a high-performance multi-modal generation system that unifies single-image editing and multi-image composition within a single framework. Existing diffusion-based editing methods often struggle to maintain consistency ac... read more 
Computer Vision and Pattern Recognition

Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulation

arXiv Feb 15, 2026
3D Gaussian Splatting (3DGS) has emerged as a powerful approach for novel view synthesis. However, the number of Gaussian primitives often grows substantially during training as finer scene details are reconstructed, leading to increased memory and s... read more 
Image and Video Processing cs.CV eess.SP

GeoEyes: On-Demand Visual Focusing for Evidence-Grounded Understanding of Ultra-High-Resolution Remote Sensing Imagery

arXiv Feb 15, 2026
The "thinking-with-images" paradigm enables multimodal large language models (MLLMs) to actively explore visual scenes via zoom-in tools. This is essential for ultra-high-resolution (UHR) remote sensing VQA, where task-relevant cues are sparse and ti... read more 
Computer Vision and Pattern Recognition cs.AI

Freq-DP Net: A Dual-Branch Network for Fence Removal using Dual-Pixel and Fourier Priors

arXiv Feb 15, 2026
Removing fence occlusions from single images is a challenging task that degrades visual quality and limits downstream computer vision applications. Existing methods often fail on static scenes or require motion cues from multiple frames. To overcome ... read more 
Computer Vision and Pattern Recognition

Evaluating LLMs in Finance Requires Explicit Bias Consideration

arXiv Feb 15, 2026
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation practice has not kept up. Finance-specific biases can inflate performance, contaminate backtests, and make reported results useless for any deployment c... read more 
Machine Learning cs.AI q-fin.CP
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