Artificial Intelligence Medical Compendium

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

Showing 60,121 to 60,130 of 228,072 articles

Organ-Aware Attention Improves CT Triage and Classification

arXiv Jan 19, 2026
There is an urgent need for triage and classification of high-volume medical imaging modalities such as computed tomography (CT), which can improve patient care and mitigate radiologist burnout. Study-level CT triage requires calibrated predictions w... read more 
Computer Vision and Pattern Recognition cs.AI

Structured Insight from Unstructured Data: Large Language Models for SDOH-Driven Diabetes Risk Prediction

arXiv Jan 19, 2026
Social determinants of health (SDOH) play a critical role in Type 2 Diabetes (T2D) management but are often absent from electronic health records and risk prediction models. Most individual-level SDOH data is collected through structured screening to... read more 
Computation and Language

Deep Image Prior with L0 Gradient Regularizer for Image Smoothing

arXiv Jan 19, 2026
Image smoothing is a fundamental image processing operation that preserves the underlying structure, such as strong edges and contours, and removes minor details and textures in an image. Many image smoothing algorithms rely on computing local window... read more 
Computer Vision and Pattern Recognition cs.AI

Reasoning with Pixel-level Precision: QVLM Architecture and SQuID Dataset for Quantitative Geospatial Analytics

arXiv Jan 19, 2026
Current Vision-Language Models (VLMs) fail at quantitative spatial reasoning because their architectures destroy pixel-level information required for counting and measurements. Vision encoders compress images through patch embeddings, reducing spatia... read more 
Computer Vision and Pattern Recognition cs.AI

Local-to-Global Logical Explanations for Deep Vision Models

arXiv Jan 19, 2026
While deep neural networks are extremely effective at classifying images, they remain opaque and hard to interpret. We introduce local and global explanation methods for black-box models that generate explanations in terms of human-recognizable primi... read more 
Computer Vision and Pattern Recognition cs.AI

Using deep learning for predicting cleansing quality of colon capsule endoscopy images

arXiv Jan 19, 2026
In this study, we explore the application of deep learning techniques for predicting cleansing quality in colon capsule endoscopy (CCE) images. Using a dataset of 500 images labeled by 14 clinicians on the Leighton-Rex scale (Poor, Fair, Good, and Ex... read more 
Computer Vision and Pattern Recognition cs.AI

Diffusion Representations for Fine-Grained Image Classification: A Marine Plankton Case Study

arXiv Jan 19, 2026
Diffusion models have emerged as state-of-the-art generative methods for image synthesis, yet their potential as general-purpose feature encoders remains underexplored. Trained for denoising and generation without labels, they can be interpreted as s... read more 
Computer Vision and Pattern Recognition

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement

arXiv Jan 19, 2026
Retinal fundus photography is indispensable for ophthalmic screening and diagnosis, yet image quality is often degraded by noise, artifacts, and uneven illumination. Recent GAN- and diffusion-based enhancement methods improve perceptual quality by al... read more 
Computer Vision and Pattern Recognition

Trust Me, I'm an Expert: Decoding and Steering Authority Bias in Large Language Models

arXiv Jan 19, 2026
Prior research demonstrates that performance of language models on reasoning tasks can be influenced by suggestions, hints and endorsements. However, the influence of endorsement source credibility remains underexplored. We investigate whether langua... read more 
Computation and Language cs.LG

Analyzing VLM-Based Approaches for Anomaly Classification and Segmentation

arXiv Jan 19, 2026
Vision-Language Models (VLMs), particularly CLIP, have revolutionized anomaly detection by enabling zero-shot and few-shot defect identification without extensive labeled datasets. By learning aligned representations of images and text, VLMs facilita... read more 
Computer Vision and Pattern Recognition
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