Artificial Intelligence Medical Compendium

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

Showing 31,591 to 31,600 of 220,544 articles

Naka-GS: A Bionics-inspired Dual-Branch Naka Correction and Progressive Point Pruning for Low-Light 3DGS

arXiv Apr 13, 2026
Low-light conditions severely hinder 3D restoration and reconstruction by degrading image visibility, introducing color distortions, and contaminating geometric priors for downstream optimization. We present NAKA-GS, a bionics-inspired framework for ... read more 
Computer Vision and Pattern Recognition

Hierarchical Textual Knowledge for Enhanced Image Clustering

arXiv Apr 13, 2026
Image clustering aims to group images in an unsupervised fashion. Traditional methods focus on knowledge from visual space, making it difficult to distinguish between visually similar but semantically different classes. Recent advances in vision-lang... read more 
Computer Vision and Pattern Recognition cs.CL cs.MM

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation

arXiv Apr 13, 2026
Deep learning has greatly advanced medical image segmentation, but its success relies heavily on fully supervised learning, which requires dense annotations that are costly and time-consuming for 3D volumetric scans. Barely-supervised learning reduce... read more 
Computer Vision and Pattern Recognition

Cost-optimal Sequential Testing via Doubly Robust Q-learning

arXiv Apr 13, 2026
Clinical decision-making often involves selecting tests that are costly, invasive, or time-consuming, motivating individualized, sequential strategies for what to measure and when to stop ascertaining. We study the problem of learning cost-optimal se... read more 
Machine Learning cs.AI cs.LG math.ST

Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia

arXiv Apr 13, 2026
Computer-aided detection (CADe) of early neoplasia in Barrett's esophagus is a low-prevalence surveillance problem in which clinically relevant findings are rare. Although many CADe systems report strong performance on balanced or enriched datasets, ... read more 
Computer Vision and Pattern Recognition

NeuVolEx: Implicit Neural Features for Volume Exploration

arXiv Apr 13, 2026
Direct volume rendering (DVR) aims to help users identify and examine regions of interest (ROIs) within volumetric data, and feature representations that support effective ROI classification and clustering play a fundamental role in volume exploratio... read more 
Graphics cs.CV

Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment

arXiv Apr 13, 2026
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the clinical utility of positron emission tomography (PET) is limited by cost and radiation exposure, hindering early screening at preclinical or prodromal ... read more 
Computer Vision and Pattern Recognition

Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching

arXiv Apr 13, 2026
Forecasting neural activity in response to naturalistic stimuli remains a key challenge for understanding brain dynamics and enabling downstream neurotechnological applications. Here, we introduce a generative forecasting framework for modeling neura... read more 
Neurons and Cognition cs.LG

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration

arXiv Apr 13, 2026
Contrastive Language-Image Pre-training (CLIP) has demonstrated outstanding performance in global image understanding and zero-shot transfer through large-scale text-image alignment. However, the core of medical image analysis often lies in the fine-... read more 
Computer Vision and Pattern Recognition

LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results

arXiv Apr 13, 2026
This paper reviews the LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment. This challenge aims to raise a new direction, i.e., how to evaluate the loss of semantic information from the human perspective, intending to promote the... read more 
Computer Vision and Pattern Recognition
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