Artificial Intelligence Medical Compendium

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

Showing 62,241 to 62,250 of 230,319 articles

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

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

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

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

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

Practical Insights into Semi-Supervised Object Detection Approaches

arXiv Jan 19, 2026
Learning in data-scarce settings has recently gained significant attention in the research community. Semi-supervised object detection(SSOD) aims to improve detection performance by leveraging a large number of unlabeled images alongside a limited nu... read more 
Computer Vision and Pattern Recognition

Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans

arXiv Jan 19, 2026
Distributional shifts between training and inference time data remain a central challenge in machine learning, often leading to poor performance. It motivated the study of principled approaches for domain alignment, such as optimal transport based un... read more 
Machine Learning

MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomic

arXiv Jan 19, 2026
Spatial transcriptomics (ST) enables transcriptome-wide profiling while preserving the spatial context of tissues, offering unprecedented opportunities to study tissue organization and cell-cell interactions in situ. Despite recent advances, existing... read more 
Computer Vision and Pattern Recognition cs.LG

A Semantic Decoupling-Based Two-Stage Rainy-Day Attack for Revealing Weather Robustness Deficiencies in Vision-Language Models

arXiv Jan 19, 2026
Vision-Language Models (VLMs) are trained on image-text pairs collected under canonical visual conditions and achieve strong performance on multimodal tasks. However, their robustness to real-world weather conditions, and the stability of cross-modal... read more 
Computer Vision and Pattern Recognition cs.AI

ConvMambaNet: A Hybrid CNN-Mamba State Space Architecture for Accurate and Real-Time EEG Seizure Detection

arXiv Jan 19, 2026
Epilepsy is a chronic neurological disorder marked by recurrent seizures that can severely impact quality of life. Electroencephalography (EEG) remains the primary tool for monitoring neural activity and detecting seizures, yet automated analysis rem... read more 
Computer Vision and Pattern Recognition
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