Artificial Intelligence Medical Compendium

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

Showing 56,681 to 56,690 of 226,846 articles

Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise

arXiv Jan 29, 2026
Diffusion models have achieved remarkable progress in image generation, but their increasing deployment raises serious concerns about privacy. In particular, fine-tuned models are highly vulnerable, as they are often fine-tuned on small and private d... read more 
Cryptography and Security cs.LG

Similarity of Processing Steps in Vision Model Representations

arXiv Jan 29, 2026
Recent literature suggests that the bigger the model, the more likely it is to converge to similar, ``universal'' representations, despite different training objectives, datasets, or modalities. While this literature shows that there is an area where... read more 
Computer Vision and Pattern Recognition

PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization

arXiv Jan 29, 2026
Vision-Language Models (VLMs) are advancing computational pathology with superior visual understanding capabilities. However, current systems often reduce diagnosis to directly output conclusions without verifiable evidence-linked reasoning, which se... read more 
Computer Vision and Pattern Recognition

WMVLM: Evaluating Diffusion Model Image Watermarking via Vision-Language Models

arXiv Jan 29, 2026
Digital watermarking is essential for securing generated images from diffusion models. Accurate watermark evaluation is critical for algorithm development, yet existing methods have significant limitations: they lack a unified framework for both resi... read more 
Computer Vision and Pattern Recognition

Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration

arXiv Jan 29, 2026
All-in-One Image Restoration (AiOIR) faces the fundamental challenge in reconciling conflicting optimization objectives across heterogeneous degradations. Existing methods are often constrained by coarse-grained control mechanisms or fixed mapping sc... read more 
Computer Vision and Pattern Recognition

Shaping capabilities with token-level data filtering

arXiv Jan 29, 2026
Current approaches to reducing undesired capabilities in language models are largely post hoc, and can thus be easily bypassed by adversaries. A natural alternative is to shape capabilities during pretraining itself. On the proxy task of removing med... read more 
Machine Learning cs.AI cs.CL

HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction

arXiv Jan 29, 2026
Predicting spatial gene expression from H&E histology offers a scalable and clinically accessible alternative to sequencing, but realizing clinical impact requires models that generalize across cancer types and capture biologically coherent signals. ... read more 
Machine Learning

Bi-Anchor Interpolation Solver for Accelerating Generative Modeling

arXiv Jan 29, 2026
Flow Matching (FM) models have emerged as a leading paradigm for high-fidelity synthesis. However, their reliance on iterative Ordinary Differential Equation (ODE) solving creates a significant latency bottleneck. Existing solutions face a dichotomy:... read more 
Computer Vision and Pattern Recognition cs.AI

Sustainable Materials Discovery in the Era of Artificial Intelligence

arXiv Jan 29, 2026
Artificial intelligence (AI) has transformed materials discovery, enabling rapid exploration of chemical space through generative models and surrogate screening. Yet current AI workflows optimize performance first, deferring sustainability to post sy... read more 
Materials Science cs.AI

HERS: Hidden-Pattern Expert Learning for Risk-Specific Vehicle Damage Adaptation in Diffusion Models

arXiv Jan 29, 2026
Recent advances in text-to-image (T2I) diffusion models have enabled increasingly realistic synthesis of vehicle damage, raising concerns about their reliability in automated insurance workflows. The ability to generate crash-like imagery challenges ... read more 
Computer Vision and Pattern Recognition
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