Artificial Intelligence Medical Compendium

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

Showing 1,171 to 1,180 of 163,745 articles

ModalFormer: Multimodal Transformer for Low-Light Image Enhancement

arXiv Jul 27, 2025
Low-light image enhancement (LLIE) is a fundamental yet challenging task due to the presence of noise, loss of detail, and poor contrast in images captured under insufficient lighting conditions. Recent methods often rely solely on pixel-level tran... read more 
Computer Vision and Pattern Recognition

GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement

arXiv Jul 27, 2025
Low-light image enhancement (LLIE) aims to improve the visual quality of images captured under poor lighting conditions. In supervised LLIE research, there exists a significant yet often overlooked inconsistency between the overall brightness of an... read more 
Computer Vision and Pattern Recognition

Multi-Attention Stacked Ensemble for Lung Cancer Detection in CT Scans

arXiv Jul 27, 2025
In this work, we address the challenge of binary lung nodule classification (benign vs malignant) using CT images by proposing a multi-level attention stacked ensemble of deep neural networks. Three pretrained backbones -- EfficientNet V2 S, Mobile... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification

arXiv Jul 27, 2025
We propose the Lightweight Multimodal Contrastive Attention Transformer (L-MCAT), a novel transformer-based framework for label-efficient remote sensing image classification using unpaired multimodal satellite data. L-MCAT introduces two core innov... read more 
Computer Vision and Pattern Recognition

A visualized machine learning model using noninvasive parameters to differentiate men with and without prostatic carcinoma before biopsy.

Scientific reports Jul 27, 2025
This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish prostatic carcinoma (PCA) from non-PCA using noninvasive prebiopsy parameters before biopsy. This was a cross-sectional study of 310 Chinese men who unde... read more 

MoCTEFuse: Illumination-Gated Mixture of Chiral Transformer Experts for Multi-Level Infrared and Visible Image Fusion

arXiv Jul 27, 2025
While illumination changes inevitably affect the quality of infrared and visible image fusion, many outstanding methods still ignore this factor and directly merge the information from source images, leading to modality bias in the fused results. T... read more 
Computer Vision and Pattern Recognition

Predicting Mechanosensitive T Cell Expansion from Cell Spreading.

Advanced healthcare materials Jul 27, 2025
Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT). This includes expansion of a small starting population into therapeutically effective numbers, which can fail due to differences between individual... read more 

Comparative Performance of Chatbots in Endodontic Clinical Decision Support: A 4-Day Accuracy and Consistency Study.

International dental journal Jul 27, 2025
INTRODUCTION AND AIMS: Despite the use of artificial intelligence, which is increasingly prevalent in healthcare settings, concerns remain regarding its reliability and accuracy. The study assessed the overall, difficulty level-specific, and day-to-d... read more 

Local Prompt Adaptation for Style-Consistent Multi-Object Generation in Diffusion Models

arXiv Jul 27, 2025
Diffusion models have become a powerful backbone for text-to-image generation, enabling users to synthesize high-quality visuals from natural language prompts. However, they often struggle with complex prompts involving multiple objects and global ... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Multiagent Systems

SWIFT: A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening

arXiv Jul 27, 2025
Pansharpening aims to fuse high-resolution panchromatic (PAN) images with low-resolution multispectral (LRMS) images to generate high-resolution multispectral (HRMS) images. Although deep learning-based methods have achieved promising performance, ... read more 
Computer Vision and Pattern Recognition
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