Artificial Intelligence Medical Compendium

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

Showing 55,001 to 55,010 of 226,457 articles

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

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

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

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

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

Grables: Tabular Learning Beyond Independent Rows

arXiv Feb 3, 2026
Tabular learning is still dominated by row-wise predictors that score each row independently, which fits i.i.d. benchmarks but fails on transactional, temporal, and relational tables where labels depend on other rows. We show that row-wise prediction... read more 
Machine Learning

Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science

arXiv Feb 3, 2026
Tokens are discrete representations that allow modern deep learning to scale by transforming high-dimensional data into sequences that can be efficiently learned, generated, and generalized to new tasks. These have become foundational for image and v... read more 
Computer Vision and Pattern Recognition cs.AI cs.CE cs.LG

Causal Discovery for Cross-Sectional Data Based on Super-Structure and Divide-and-Conquer

arXiv Feb 3, 2026
This paper tackles a critical bottleneck in Super-Structure-based divide-and-conquer causal discovery: the high computational cost of constructing accurate Super-Structures--particularly when conditional independence (CI) tests are expensive and doma... read more 
Machine Learning stat.ME

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces

arXiv Feb 3, 2026
The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimization. We develop NeuroPareto, a cohesive architecture that integrates... read more 
Machine Learning cs.NE

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions

arXiv Feb 3, 2026
Reinforcement Learning (RL) offers a powerful framework for optimizing dynamic treatment regimes (DTRs). However, clinical RL is fundamentally bottlenecked by reward engineering: the challenge of defining signals that safely and effectively guide pol... read more 
Machine Learning
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