Artificial Intelligence Medical Compendium

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

Showing 26,331 to 26,340 of 218,283 articles

Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification

arXiv Apr 26, 2026
The application of Deep Learning in medical diagnosis must balance patient safety with compliance with data protection regulations. Machine Unlearning enables the selective removal of training data from deployed models. However, most methods are vali... read more 
Artificial Intelligence

Empirical Ablation and Ensemble Optimization of a Convolutional Neural Network for CIFAR-10 Classification

arXiv Apr 26, 2026
Convolutional neural networks (CNNs) remain a central approach in image classification, but their performance depends strongly on architectural and training choices. This paper presents an empirical ablation-based study of CNN optimization for the CI... read more 
Computer Vision and Pattern Recognition cs.AI

Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification

arXiv Apr 26, 2026
Noisy labels are a pervasive challenge in medical image classification, where annotation errors arise from inter-observer variability and diagnostic ambiguity. Although several noise-robust learning methods have been proposed, their evaluation predom... read more 
Computer Vision and Pattern Recognition cs.AI

Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study

arXiv Apr 26, 2026
Breast cancer is a leading cause of cancer-related mortality among women worldwide, with mammography as the primary screening tool. While deep learning models have shown strong performance in lesion segmentation, most rely on computationally intensiv... read more 
Computer Vision and Pattern Recognition cs.LG

Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications

arXiv Apr 26, 2026
Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over traditional bit-centric systems. However, most existing SemCom systems fa... read more 
Information Theory

A multi-view machine learning approach for estimating PM2.5 concentrations from smartphone photographs.

Journal of hazardous materials Apr 26, 2026
Accurate and efficient estimates of fine particulate matter (PM2.5) concentrations and associated exposure from smartphone photographs can provide the public with personalized risk information, helping to raise environmental risk awareness and reduce... read more 

The Dark Side of Love: Prediction of Digital Intimate Partner Violence and Associated Factors Among University Students Using Machine Learning.

Journal of interpersonal violence Apr 26, 2026
This study aimed to identify key risk factors and predict digital intimate partner violence (DIPV) exposure and perpetration among university students using machine learning (ML) algorithms. A cross-sectional online survey was conducted with 1,764 un... read more 

MetaboNet: The Largest Publicly Available Consolidated Data Set for Type 1 Diabetes Management.

Journal of diabetes science and technology Apr 26, 2026
BACKGROUND: Progress in type 1 diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management data sets. Current data sets differ substantially in structure and are time-consuming to ac... read more 

Transforming clinical trials in rare genetic diseases through telemedicine.

Journal of community genetics Apr 26, 2026
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Anatomical-connectivity-guided functional connectivity reveals task-relevant pathways during proactive task-switching via recurrent graph neural networks.

Brain informatics Apr 26, 2026
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