Artificial Intelligence Medical Compendium

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

Showing 36,321 to 36,330 of 223,137 articles

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 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

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

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

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

Beyond Detection: Ethical Foundations for Automated Dyslexic Error Attribution

arXiv Apr 2, 2026
Dyslexic spelling errors exhibit systematic phonological and orthographic patterns that distinguish them from the errors produced by typically developing writers. While this observation has motivated dyslexic-specific spell-checking and assistive wri... read more 
Computation and Language cs.AI

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

arXiv Apr 2, 2026
Gaussian Splatting (GS) has emerged as a dominating technique for image rendering and has quickly been adapted for the X-ray Computed Tomography (CT) reconstruction task. However, despite being on par or better than many of its predecessors, the bene... read more 
Computer Vision and Pattern Recognition

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

arXiv Apr 2, 2026
Vector quantization approaches (VQ-VAE, VQ-GAN) learn discrete neural representations of images, but these representations are inherently position-dependent: codes are spatially arranged and contextually entangled, requiring autoregressive or diffusi... read more 
Computer Vision and Pattern Recognition cs.LG

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification

arXiv Apr 2, 2026
Semi-supervised domain adaptation leverages a few labeled and many unlabeled target samples, making it promising for addressing domain shifts in medical image analysis. However, existing methods struggle with severity classification due to unclear cl... read more 
Computer Vision and Pattern Recognition

SafeRoPE: Risk-specific Head-wise Embedding Rotation for Safe Generation in Rectified Flow Transformers

arXiv Apr 2, 2026
Recent Text-to-Image (T2I) models based on rectified-flow transformers (e.g., SD3, FLUX) achieve high generative fidelity but remain vulnerable to unsafe semantics, especially when triggered by multi-token interactions. Existing mitigation methods la... read more 
Computer Vision and Pattern Recognition
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