Artificial Intelligence Medical Compendium

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

Showing 4,541 to 4,550 of 174,202 articles

LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion

arXiv Aug 21, 2025
Medical image segmentation plays a pivotal role in disease diagnosis and treatment planning, particularly in resource-constrained clinical settings where lightweight and generalizable models are urgently needed. However, existing lightweight models... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Advances in pediatric acute kidney injury detection and prediction: biomarkers and artificial intelligence.

World journal of pediatrics : WJP Aug 21, 2025
read more 

Optic Nerve Atrophy Conditions Associated With 3D Unsegmented Optical Coherence Tomography Volumes Using Deep Learning.

JAMA ophthalmology Aug 21, 2025
IMPORTANCE: Accurate differentiation of optic nerve head (ONH) atrophy is vital for guiding diagnosis and treatment of conditions such as glaucoma, nonarteritic anterior ischemic optic neuropathy (NAION), and optic neuritis. Traditional 2-dimensional... read more 

Barriers and facilitators to nurses' adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies.

BMJ open Aug 21, 2025
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being developed and deployed to support clinical decision-making, care delivery and patient monitoring in healthcare. However, the adoption of AI-driven solutions by nurses, who... read more 
Humans Artificial Intelligence Research Design Nurses Qualitative Research Attitude of Health Personnel Systematic Reviews as Topic

High-throughput screening accelerated by machine learning for the morphology of silica nanoparticles with high cell permeability.

Nanoscale Aug 21, 2025
In recent years, silica nanoparticles have garnered tremendous attention as drug-delivery carriers. However, the cell permeability of nanoparticles remains a major obstacle that limits the drug-delivery efficiency of drug carriers. It is a common pra... read more 
Nanoparticles Drug Carriers Humans Machine Learning Cell Membrane Permeability Silicon Dioxide High-Throughput Screening Assays

Quantum Federated Learning: A Comprehensive Survey

arXiv Aug 21, 2025
Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving decentralized learning with quantum-enhanced capabilities. It appears ... read more 
Machine Learning

Unraveling the mechanisms of bisphenol A-Induced lupus nephritis through network toxicology and machine learning approaches.

International journal of environmental health research Aug 21, 2025
This study aimed to identify the potential toxic targets and molecular mechanisms underlying bisphenol A (BPA) exposure-induced lupus nephritis (LN) using network toxicology and machine learning. By leveraging the online databases SwissTargetPredicti... read more 

Mini-Batch Robustness Verification of Deep Neural Networks

arXiv Aug 21, 2025
Neural network image classifiers are ubiquitous in many safety-critical applications. However, they are susceptible to adversarial attacks. To understand their robustness to attacks, many local robustness verifiers have been proposed to analyze $\e... read more 
Machine Learning Logic in Computer Science Programming Languages

Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques.

Scientific reports Aug 21, 2025
Concrete strength prediction is of great relevance for construction safety and quality assurance; however, these methods often trade-off their accuracy or interpretability, especially when it comes to the use of supplementary cementitious materials l... read more 

Machine learning-assisted MALDI-MSI to characterize hippocampal subregion lipid and purine metabolic alterations in depression-related dry eye disease.

Analytical methods : advancing methods and applications Aug 21, 2025
Dry eye disease (DED) and depression exhibit high comorbidity, yet lipid and purine diagnostic biomarkers for depression-related DED remain unidentified. In this study, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI)... read more 
Machine Learning Biomarkers Purines Dry Eye Syndromes Rats, Sprague-Dawley Lipid Metabolism Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Hippocampus Depression Animals Rats Male
Popular Topics
Recent Journals