Artificial Intelligence Medical Compendium

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

Showing 34,771 to 34,780 of 221,633 articles

MAR-MAER: Metric-Aware and Ambiguity-Adaptive Autoregressive Image Generation

arXiv Apr 2, 2026
Autoregressive (AR) models have demonstrated significant success in the realm of text-to-image generation. However, they usually face two major challenges. Firstly, the generated images may not always meet the quality standards expected by humans. Fu... read more 
Computer Vision and Pattern Recognition

GeoAI Agency Primitives

arXiv Apr 2, 2026
We present ongoing research on agency primitives for GeoAI assistants -- core capabilities that connect Foundation models to the artifact-centric, human-in-the-loop workflows where GIS practitioners actually work. Despite advances in satellite image ... read more 
Computer Vision and Pattern Recognition

Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters

arXiv Apr 2, 2026
Text-to-image generative models are widely deployed in creative tools and online platforms. To mitigate misuse, these systems rely on safety filters and moderation pipelines that aim to block harmful or policy violating content. In this work we show ... read more 
Computer Vision and Pattern Recognition

Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling

arXiv Apr 2, 2026
Artificial intelligence (AI) systems accelerate medical workflows and improve diagnostic accuracy in healthcare, serving as second-opinion systems. However, the unpredictability of AI errors poses a significant challenge, particularly in healthcare c... read more 
Machine Learning

Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition

arXiv Apr 2, 2026
Synthetic Aperture Radar (SAR) image recognition is vital for disaster monitoring, military reconnaissance, and ocean observation. However, large SAR image sizes hinder deep learning deployment on resource-constrained edge devices, and existing light... read more 
Computer Vision and Pattern Recognition

Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition

arXiv Apr 2, 2026
Synthetic Aperture Radar (SAR) image recognition is vital for disaster monitoring, military reconnaissance, and ocean observation. However, large SAR image sizes hinder deep learning deployment on resource-constrained edge devices, and existing light... read more 
Computer Vision and Pattern Recognition

Enhancing Medical Visual Grounding via Knowledge-guided Spatial Prompts

arXiv Apr 2, 2026
Medical Visual Grounding (MVG) aims to identify diagnostically relevant phrases from free-text radiology reports and localize their corresponding regions in medical images, providing interpretable visual evidence to support clinical decision-making. ... read more 
Computer Vision and Pattern Recognition

Captioning Daily Activity Images in Early Childhood Education: Benchmark and Algorithm

arXiv Apr 2, 2026
Image captioning for Early Childhood Education (ECE) is essential for automated activity understanding and educational assessment. However, existing methods face two key challenges. First, the lack of large-scale, domain-specific datasets limits the ... read more 
Computer Vision and Pattern Recognition cs.AI

A Self supervised learning framework for imbalanced medical imaging datasets

arXiv Apr 2, 2026
Two problems often plague medical imaging analysis: 1) Non-availability of large quantities of labeled training data, and 2) Dealing with imbalanced data, i.e., abundant data are available for frequent classes, whereas data are highly limited for the... read more 
Computer Vision and Pattern Recognition

annbatch unlocks terabyte-scale training of biological data in anndata

arXiv Apr 2, 2026
The scale of biological datasets now routinely exceeds system memory, making data access rather than model computation the primary bottleneck in training machine-learning models. This bottleneck is particularly acute in biology, where widely used com... read more 
Machine Learning q-bio.GN
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