Artificial Intelligence Medical Compendium

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

Showing 24,831 to 24,840 of 217,472 articles

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

arXiv Apr 29, 2026
As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data and clinical operations. In this context, this paper... read more 
Cryptography and Security eess.SP

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness

arXiv Apr 29, 2026
Recent unified image generation models have achieved remarkable success by employing MLLMs for semantic understanding and diffusion backbones for image generation. However, these models remain fundamentally limited in spatially-aware tasks due to a l... read more 
Computer Vision and Pattern Recognition

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance

arXiv Apr 29, 2026
Diffusion models have achieved remarkable success in image generation, yet their training is predominantly driven by full-reference objectives that enforce pixel-wise similarity to ground-truth images.Such supervision, while effective for fidelity, m... read more 
Computer Vision and Pattern Recognition cs.AI

CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

arXiv Apr 29, 2026
Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generalize to unseen target environments without compro... read more 
Computer Vision and Pattern Recognition cs.LG

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models

arXiv Apr 29, 2026
To address the high sampling cost of Diffusion Transformers (DiTs), feature caching offers a training-free acceleration method. However, existing methods rely on hand-crafted forecasting formulas that fail under aggressive skipping. We propose L2P (L... read more 
Computer Vision and Pattern Recognition cs.LG

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

arXiv Apr 29, 2026
Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-based SHM data quality assessment method using a univariate implicit auto... read more 
Machine Learning cs.LG

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning

arXiv Apr 29, 2026
Vision-language models have shown strong performance, but they often generalize poorly to specialized domains. While semi-supervised vision-language learning mitigates this limitation by leveraging a small set of labeled image-text pairs together wit... read more 
Computer Vision and Pattern Recognition cs.LG math.AT

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection

arXiv Apr 29, 2026
Industrial object detection systems typically rely on large annotated datasets, which are expensive to collect and challenging to maintain in industrial scenarios where the inventory of objects changes frequently. This work addresses the challenge of... read more 
Computer Vision and Pattern Recognition

Delineating Knowledge Boundaries for Honest Large Vision-Language Models

arXiv Apr 29, 2026
Large Vision-Language Models (VLMs) have achieved remarkable multimodal performance yet remain prone to factual hallucinations, particularly in long-tail or specialized domains. Moreover, current models exhibit a weak capacity to refuse queries that ... read more 
Computer Vision and Pattern Recognition cs.AI

Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof

arXiv Apr 29, 2026
Purpose: Rapid and reliable diagnostic tools are crucial for managing respiratory diseases like COVID-19, where chest X-ray analysis coupled with artificial intelligence techniques has proven invaluable. However, most existing works on X-ray images h... read more 
Computer Vision and Pattern Recognition
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