Artificial Intelligence Medical Compendium

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

Showing 58,411 to 58,420 of 227,634 articles

High-Fidelity Longitudinal Patient Simulation Using Real-World Data

arXiv Jan 24, 2026
Simulation is a powerful tool for exploring uncertainty. Its potential in clinical medicine is transformative and includes personalized treatment planning and virtual clinical trials. However, simulating patient trajectories is challenging because of... read more 
Artificial Intelligence cs.LG

ClinNet: Evidential Ordinal Regression with Bilateral Asymmetry and Prototype Memory for Knee Osteoarthritis Grading

arXiv Jan 24, 2026
Knee osteoarthritis (KOA) grading based on radiographic images is a critical yet challenging task due to subtle inter-grade differences, annotation uncertainty, and the inherently ordinal nature of disease progression. Conventional deep learning appr... read more 
Computer Vision and Pattern Recognition cs.AI

SkyReels-V3 Technique Report

arXiv Jan 24, 2026
Video generation serves as a cornerstone for building world models, where multimodal contextual inference stands as the defining test of capability. In this end, we present SkyReels-V3, a conditional video generation model, built upon a unified multi... read more 
Computer Vision and Pattern Recognition

SymbolSight: Minimizing Inter-Symbol Interference for Reading with Prosthetic Vision

arXiv Jan 24, 2026
Retinal prostheses restore limited visual perception, but low spatial resolution and temporal persistence make reading difficult. In sequential letter presentation, the afterimage of one symbol can interfere with perception of the next, leading to sy... read more 
Computer Vision and Pattern Recognition cs.HC

Learning with Geometric Priors in U-Net Variants for Polyp Segmentation

arXiv Jan 24, 2026
Accurate and robust polyp segmentation is essential for early colorectal cancer detection and for computer-aided diagnosis. While convolutional neural network-, Transformer-, and Mamba-based U-Net variants have achieved strong performance, they still... read more 
Computer Vision and Pattern Recognition

TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution

arXiv Jan 24, 2026
Real-world text image super-resolution aims to restore overall visual quality and text legibility in images suffering from diverse degradations and text distortions. However, the scarcity of text image data in existing datasets results in poor perfor... read more 
Computer Vision and Pattern Recognition

STARS: Shared-specific Translation and Alignment for missing-modality Remote Sensing Semantic Segmentation

arXiv Jan 24, 2026
Multimodal remote sensing technology significantly enhances the understanding of surface semantics by integrating heterogeneous data such as optical images, Synthetic Aperture Radar (SAR), and Digital Surface Models (DSM). However, in practical appli... read more 
Computer Vision and Pattern Recognition

Revisiting Lightweight Low-Light Image Enhancement: From a YUV Color Space Perspective

arXiv Jan 24, 2026
In the current era of mobile internet, Lightweight Low-Light Image Enhancement (L3IE) is critical for mobile devices, which faces a persistent trade-off between visual quality and model compactness. While recent methods employ disentangling strategie... read more 
Computer Vision and Pattern Recognition

NeRF-MIR: Towards High-Quality Restoration of Masked Images with Neural Radiance Fields

arXiv Jan 24, 2026
Neural Radiance Fields (NeRF) have demonstrated remarkable performance in novel view synthesis. However, there is much improvement room on restoring 3D scenes based on NeRF from corrupted images, which are common in natural scene captures and can sig... read more 
Computer Vision and Pattern Recognition cs.AI

HyDeMiC: A Deep Learning-based Mineral Classifier using Hyperspectral Data

arXiv Jan 24, 2026
Hyperspectral imaging (HSI) has emerged as a powerful remote sensing tool for mineral exploration, capitalizing on unique spectral signatures of minerals. However, traditional classification methods such as discriminant analysis, logistic regression,... read more 
Computer Vision and Pattern Recognition
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