Artificial Intelligence Medical Compendium

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

Showing 55,201 to 55,210 of 226,647 articles

PromptSplit: Revealing Prompt-Level Disagreement in Generative Models

arXiv Feb 3, 2026
Prompt-guided generative AI models have rapidly expanded across vision and language domains, producing realistic and diverse outputs from textual inputs. The growing variety of such models, trained with different data and architectures, calls for pri... read more 
Machine Learning cs.AI cs.CV

TiCLS : Tightly Coupled Language Text Spotter

arXiv Feb 3, 2026
Scene text spotting aims to detect and recognize text in real-world images, where instances are often short, fragmented, or visually ambiguous. Existing methods primarily rely on visual cues and implicitly capture local character dependencies, but th... read more 
Computer Vision and Pattern Recognition

MS-SCANet: A Multiscale Transformer-Based Architecture with Dual Attention for No-Reference Image Quality Assessment

arXiv Feb 3, 2026
We present the Multi-Scale Spatial Channel Attention Network (MS-SCANet), a transformer-based architecture designed for no-reference image quality assessment (IQA). MS-SCANet features a dual-branch structure that processes images at multiple scales, ... read more 
Image and Video Processing cs.CV cs.MM

AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splatting

arXiv Feb 3, 2026
The growing demand for rapid and scalable 3D asset creation has driven interest in feed-forward 3D reconstruction methods, with 3D Gaussian Splatting (3DGS) emerging as an effective scene representation. While recent approaches have demonstrated pose... read more 
Computer Vision and Pattern Recognition

Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs

arXiv Feb 3, 2026
High-fidelity registration of histopathological whole slide images (WSIs), such as hematoxylin & eosin (H&E) and immunohistochemistry (IHC), is vital for integrated molecular analysis but challenging to evaluate without ground-truth (GT) annotations.... read more 
Computer Vision and Pattern Recognition

Artifact Removal and Image Restoration in AFM:A Structured Mask-Guided Directional Inpainting Approach

arXiv Feb 3, 2026
Atomic Force Microscopy (AFM) enables high-resolution surface imaging at the nanoscale, yet the output is often degraded by artifacts introduced by environmental noise, scanning imperfections, and tip-sample interactions. To address this challenge, a... read more 
Computer Vision and Pattern Recognition

Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal

arXiv Feb 3, 2026
We present SeeingThroughClutter, a method for reconstructing structured 3D representations from single images by segmenting and modeling objects individually. Prior approaches rely on intermediate tasks such as semantic segmentation and depth estimat... read more 
Computer Vision and Pattern Recognition

iSight: Towards expert-AI co-assessment for improved immunohistochemistry staining interpretation

arXiv Feb 3, 2026
Immunohistochemistry (IHC) provides information on protein expression in tissue sections and is commonly used to support pathology diagnosis and disease triage. While AI models for H\&E-stained slides show promise, their applicability to IHC is limit... read more 
Computer Vision and Pattern Recognition

Stroke Lesions as a Rosetta Stone for Language Model Interpretability

arXiv Feb 3, 2026
Large language models (LLMs) have achieved remarkable capabilities, yet methods to verify which model components are truly necessary for language function remain limited. Current interpretability approaches rely on internal metrics and lack external ... read more 
Machine Learning cs.CL

Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion

arXiv Feb 3, 2026
Identifying and making statistical inferences on differential treatment effects (commonly known as subgroup analysis in clinical research) is central to precision health. Subgroup analysis allows practitioners to pinpoint populations for whom a treat... read more 
Machine Learning cs.LG
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