Artificial Intelligence Medical Compendium

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

Showing 47,681 to 47,690 of 224,199 articles

Vinedresser3D: Agentic Text-guided 3D Editing

arXiv Feb 23, 2026
Text-guided 3D editing aims to modify existing 3D assets using natural-language instructions. Current methods struggle to jointly understand complex prompts, automatically localize edits in 3D, and preserve unedited content. We introduce Vinedresser3... read more 
Computer Vision and Pattern Recognition

VALD: Multi-Stage Vision Attack Detection for Efficient LVLM Defense

arXiv Feb 23, 2026
Large Vision-Language Models (LVLMs) can be vulnerable to adversarial images that subtly bias their outputs toward plausible yet incorrect responses. We introduce a general, efficient, and training-free defense that combines image transformations wit... read more 
Computer Vision and Pattern Recognition

ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization

arXiv Feb 23, 2026
Personalized text-to-image generation suffers from concept entanglement, where irrelevant residual information from reference images is captured, leading to a trade-off between concept fidelity and text alignment. Recent disentanglement approaches at... read more 
Computer Vision and Pattern Recognition

Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization

arXiv Feb 23, 2026
Active data acquisition is central to many learning and optimization tasks in deep neural networks, yet remains challenging because most approaches rely on predictive uncertainty estimates that are difficult to obtain reliably. To this end, we propos... read more 
Machine Learning cs.LG

Interpolation-Driven Machine Learning Approaches for Plume Shine Dose Estimation: A Comparison of XGBoost, Random Forest, and TabNet

arXiv Feb 23, 2026
Despite the success of machine learning (ML) in surrogate modeling, its use in radiation dose assessment is limited by safety-critical constraints, scarce training-ready data, and challenges in selecting suitable architectures for physics-dominated s... read more 
Machine Learning cs.AI

Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks

arXiv Feb 23, 2026
Small and Medium Enterprises (SMEs) constitute 99.9% of U.S. businesses and generate 44% of economic activity, yet systematically identifying high-potential SMEs remains an open challenge. We introduce SME-HGT, a Heterogeneous Graph Transformer frame... read more 
Machine Learning cs.AI

RAID: Retrieval-Augmented Anomaly Detection

arXiv Feb 23, 2026
Unsupervised Anomaly Detection (UAD) aims to identify abnormal regions by establishing correspondences between test images and normal templates. Existing methods primarily rely on image reconstruction or template retrieval but face a fundamental chal... read more 
Computer Vision and Pattern Recognition

Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness

arXiv Feb 23, 2026
Vision language models (VLMs) have achieved remarkable success in broad visual understanding, yet they remain challenged by object-centric reasoning on rare objects due to the scarcity of such instances in pretraining data. While prior efforts allevi... read more 
Computer Vision and Pattern Recognition

Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection

arXiv Feb 23, 2026
Recent advances in text-to-image (T2I) diffusion models have seen rapid and widespread adoption. However, their powerful generative capabilities raise concerns about potential misuse for synthesizing harmful, private, or copyrighted content. To mitig... read more 
Computer Vision and Pattern Recognition cs.AI

Evaluating the Impact of Data Anonymization on Image Retrieval

arXiv Feb 23, 2026
With the growing importance of privacy regulations such as the General Data Protection Regulation, anonymizing visual data is becoming increasingly relevant across institutions. However, anonymization can negatively affect the performance of Computer... read more 
Machine Learning
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