Artificial Intelligence Medical Compendium

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

Showing 24,011 to 24,020 of 217,366 articles

Modeling Subjective Urban Perception with Human Gaze

arXiv May 1, 2026
Urban perception describes how people subjectively evaluate urban environments, shaping how cities are experienced and understood. Existing computational approaches primarily model urban perception directly from street view images, but largely ignore... read more 
Computer Vision and Pattern Recognition cs.HC

Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks

arXiv May 1, 2026
With the development of deep learning, medical image processing has been widely used to assist clinical research. This paper focuses on the denoising problem of low-dose computed tomography using deep learning. Although low-dose computed tomography r... read more 
Image and Video Processing cs.AI cs.CV

GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer

arXiv May 1, 2026
Gaze estimation methods commonly use facial appearances to predict the direction of a person gaze. However, previous studies show three major challenges with convolutional neural network (CNN)-based, transformer-based, and contrastive language-image ... read more 
Computer Vision and Pattern Recognition

Generating Statistical Charts with Validation-Driven LLM Workflows

arXiv May 1, 2026
Generating diverse, readable statistical charts from tabular data remains challenging for LLMs, as many failures become apparent after rendering and are not detectable from data or code alone. Existing chart datasets also rarely provide fully aligned... read more 
Machine Learning

Let ViT Speak: Generative Language-Image Pre-training

arXiv May 1, 2026
In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large language models (MLLMs). To bett... read more 
Computer Vision and Pattern Recognition

Posterior Augmented Flow Matching

arXiv May 1, 2026
Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-dimensional images, each training sample supervises only a single trajectory and intermediate point,... read more 
Computer Vision and Pattern Recognition

A Model-based Visual Contact Localization and Force Sensing System for Compliant Robotic Grippers

arXiv May 1, 2026
Grasp force estimation can help prevent robots from damaging delicate objects during manipulation and improve learning-based robotic control. Integrating force sensing into deformable grippers negotiates trade-offs in cost, complexity, mechanical rob... read more 
Robotics cs.CV

DIANNE: Segmentation-Free Localization of Histology Differential Attributes

bioRxiv May 1, 2026
Pathologist-guided distinctions within histology and spatial omic images provide insights into health and disease, with digital pathology leveraging artificial intelligence to automate such assessments. To train computational models, current digital ... read more 
pathology

Single-cell foundation models reveal context-sensitive cancer programmes under subtype shift

bioRxiv May 1, 2026
Single-cell foundation models (scFMs) have shown promise as transferable representations of cellular state, but recent zero-shot evaluations suggest that they do not consistently outperform simpler baselines. We asked whether this apparent limitation... read more 
bioinformatics

Deep learning cell type classification using nuclear DNA patterns

bioRxiv May 1, 2026
Multicellular organisms comprise various types of cells, which are characterized by gene expression through interactions between chromosomal DNA and nuclear proteins. Many cutting-edge methods have been developed to reveal the three-dimensional organ... read more 
cell biology
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