Artificial Intelligence Medical Compendium

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

Showing 26,311 to 26,320 of 218,283 articles

GS-DOT: Gaussian splatting-based image reconstruction for diffuse optical tomography

arXiv Apr 26, 2026
This work presents GS-DOT, a novel image reconstruction framework based on Gaussian Splatting (GS) for diffuse optical tomography (DOT). Inspired by GS for rendering applications, absorption coefficients are represented as a sparse sum of anisotropic... read more 
Image and Video Processing cs.CV physics.med-ph

Learning to Decipher from Pixels -- A Case Study of Copiale

arXiv Apr 26, 2026
Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a transcription-first paradigm, in which handwritten symbols are transc... read more 
Computer Vision and Pattern Recognition

Reading in the Dark: Low-light Scene Text Recognition

arXiv Apr 26, 2026
Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges such as poor illumination and noise interference remain underexplored... read more 
Computer Vision and Pattern Recognition

Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations?

arXiv Apr 26, 2026
Proactive defense methods protect portrait images from unauthorized editing or talking face generation (TFG) by introducing pixel-level protective perturbations, and have already attracted increasing attention for privacy protection. In real-world sc... read more 
Computer Vision and Pattern Recognition

Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge

arXiv Apr 26, 2026
Crop disease diagnosis from field photographs faces two recurring problems: models that score well on benchmarks frequently hallucinate species names, and when predictions are correct, the reasoning behind them is typically inaccessible to the practi... read more 
Computation and Language cs.AI cs.CV

Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models

arXiv Apr 26, 2026
Histologic assessment of ulcerative colitis (UC) activity is an important endpoint in clinical trials and routine care, but manual grading with indices such as the Nancy histological index (NHI) is time-consuming and prone to observer variability. Wh... read more 
Computer Vision and Pattern Recognition

ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing

arXiv Apr 26, 2026
Single image dehazing is often constrained by a trade-off between restoration quality and computational efficiency. While efficient, CNN networks struggle to learn robust priors for dense and non-homogeneous haze. Conversely, diffusion models provide... read more 
Computer Vision and Pattern Recognition eess.IV

Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

arXiv Apr 26, 2026
As dental caries appear as subtle, low-contrast lesions in intraoral imaging, existing deep learning models face significant challenges in the early detection of caries. While recent Transformer-based detectors have shown promising results in natural... read more 
Computer Vision and Pattern Recognition

Impact of Age Specialized Models for Hypoglycemia Classification

arXiv Apr 26, 2026
Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormonal etiologies, suggesting the need for tailored monitoring, care, and medication beyond standard clinical guidelines. Specifically, in autoimmune dise... read more 
Machine Learning cs.AI cs.HC

Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery

arXiv Apr 26, 2026
The discovery of novel materials is critical for global energy and quantum technology transitions. While deep learning has fundamentally reshaped this landscape, existing predictive or generative models typically operate in isolation, lacking the aut... read more 
Machine Learning cond-mat.mtrl-sci
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