Artificial Intelligence Medical Compendium

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

Showing 64,521 to 64,530 of 231,605 articles

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL

arXiv Jan 14, 2026
General-purpose Large Vision-Language Models (LVLMs), despite their massive scale, often falter in dermatology due to "diffuse attention" - the inability to disentangle subtle pathological lesions from background noise. In this paper, we challenge th... read more 
Computer Vision and Pattern Recognition cs.AI

SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection

arXiv Jan 14, 2026
Zero-Shot Anomaly Detection (ZSAD) leverages Vision-Language Models (VLMs) to enable supervision-free industrial inspection. However, existing ZSAD paradigms are constrained by single visual backbones, which struggle to balance global semantic genera... read more 
Computer Vision and Pattern Recognition cs.AI

Interpretable Probability Estimation with LLMs via Shapley Reconstruction

arXiv Jan 14, 2026
Large Language Models (LLMs) demonstrate potential to estimate the probability of uncertain events, by leveraging their extensive knowledge and reasoning capabilities. This ability can be applied to support intelligent decision-making across diverse ... read more 
Machine Learning

Architecture inside the mirage: evaluating generative image models on architectural style, elements, and typologies

arXiv Jan 14, 2026
Generative artificial intelligence (GenAI) text-to-image systems are increasingly used to generate architectural imagery, yet their capacity to reproduce accurate images in a historically rule-bound field remains poorly characterized. We evaluated fi... read more 
Computer Vision and Pattern Recognition cs.CY

N-EIoU-YOLOv9: A Signal-Aware Bounding Box Regression Loss for Lightweight Mobile Detection of Rice Leaf Diseases

arXiv Jan 14, 2026
In this work, we propose N EIoU YOLOv9, a lightweight detection framework based on a signal aware bounding box regression loss derived from non monotonic gradient focusing and geometric decoupling principles, referred to as N EIoU (Non monotonic Effi... read more 
Computer Vision and Pattern Recognition cs.LG

From Performance to Practice: Knowledge-Distilled Segmentator for On-Premises Clinical Workflows

arXiv Jan 14, 2026
Deploying medical image segmentation models in routine clinical workflows is often constrained by on-premises infrastructure, where computational resources are fixed and cloud-based inference may be restricted by governance and security policies. Whi... read more 
Computer Vision and Pattern Recognition

Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy

arXiv Jan 14, 2026
White-Light Imaging (WLI) is the standard for endoscopic cancer screening, but Narrow-Band Imaging (NBI) offers superior diagnostic details. A key challenge is transferring knowledge from NBI to enhance WLI-only models, yet existing methods are criti... read more 
Computer Vision and Pattern Recognition

Affostruction: 3D Affordance Grounding with Generative Reconstruction

arXiv Jan 14, 2026
This paper addresses the problem of affordance grounding from RGBD images of an object, which aims to localize surface regions corresponding to a text query that describes an action on the object. While existing methods predict affordance regions onl... read more 
Computer Vision and Pattern Recognition

Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation

arXiv Jan 14, 2026
Despite significant progress in autoregressive image generation, inference remains slow due to the sequential nature of AR models and the ambiguity of image tokens, even when using speculative decoding. Recent works attempt to address this with relax... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SpikeVAEDiff: Neural Spike-based Natural Visual Scene Reconstruction via VD-VAE and Versatile Diffusion

arXiv Jan 14, 2026
Reconstructing natural visual scenes from neural activity is a key challenge in neuroscience and computer vision. We present SpikeVAEDiff, a novel two-stage framework that combines a Very Deep Variational Autoencoder (VDVAE) and the Versatile Diffusi... read more 
Computer Vision and Pattern Recognition cs.AI
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