Artificial Intelligence Medical Compendium

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

Showing 54,501 to 54,510 of 226,183 articles

Representation Geometry as a Diagnostic for Out-of-Distribution Robustness

arXiv Feb 3, 2026
Robust generalization under distribution shift remains difficult to monitor and optimize in the absence of target-domain labels, as models with similar in-distribution accuracy can exhibit markedly different out-of-distribution (OOD) performance. Whi... read more 
Machine Learning cs.CV math.DG math.GN

Child Mortality Prediction in Bangladesh: A Decade-Long Validation Study

arXiv Feb 3, 2026
The predictive machine learning models for child mortality tend to be inaccurate when applied to future populations, since they suffer from look-ahead bias due to the randomization used in cross-validation. The Demographic and Health Surveys (DHS) da... read more 
Machine Learning cs.CY

AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing in Computational Pathology

arXiv Feb 3, 2026
Whole-slide image (WSI) preprocessing, typically comprising tissue detection followed by patch extraction, is foundational to AI-driven computational pathology workflows. This remains a major computational bottleneck as existing tools either rely on ... read more 
Image and Video Processing cs.CV q-bio.QM

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
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