Artificial Intelligence Medical Compendium

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

Showing 61,701 to 61,710 of 229,091 articles

Synovial transcriptome analysis reveals ShenTong ZhuYu Tang alleviates osteoarthritis by targeting MMP-9 and immune microenvironment.

Journal of orthopaedic surgery and research
BACKGROUND: This study aimed to elucidate key molecular alterations in the osteoarthritis (OA) synovial microenvironment through transcriptomic analysis and to investigate the multi-target mechanisms of ShenTong ZhuYu Tang (STZYT) using network pharm... read more 

Ai derivation and exploration of antibiotic class spaces.

Journal of cheminformatics
PURPOSE: The rapid evolution of antibiotic-resistant bacteria poses an urgent global health crisis. A key gap in current antibiotic discovery approaches is the absence of automated chemical synthesis methods designed to systematically generate and ev... read more 

Sex Differences in Alzheimer's Disease: A Systematic Review of Two Decades of Neuroimaging Research.

The British journal of radiology
OBJECTIVES: Given the heterogeneous nature of Alzheimer's Disease (AD) and its higher prevalence in females, it is crucial to understand sex-related differences in AD presentation and changes in the brain. METHODS: : This systematic review investigat... read more 

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning.

Dento maxillo facial radiology
OBJECTIVES: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic artificial intelligence (AI). FL was compared with centralized (CL) and local learning (LL) for tooth seg... read more 

Non-destructive intelligent prediction of shelf life and quality of Tegillarca granosa using multilayer perceptron model.

Journal of the science of food and agriculture
BACKGROUND: Tegillarca granosa is prone to spoilage and deterioration during storage due to the action of microorganisms and enzymes. The traditional shelf-life prediction methods have problems such as strong destructiveness, long time consumption, c... read more 

Hundred-Nanosecond Equivalent Pixel Dwell Time for Deep-Tissue 3D Three-Photon Fluorescence Microscopy via Sparse X-Y-Z Reconstruction.

Small methods
Three-photon fluorescence microscopy (3PFM) enables high-resolution volumetric imaging in deep tissues but is fundamentally constrained by a trade-off among imaging speed and spatial resolution, due to low photon flux and prolonged laser exposure. We... read more 

Atrial Fibrillation Ablation Using 3D Artificial Intelligence Module Integration with Intracardiac Echocardiography.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
BACKGROUND: Intracardiac echocardiography (ICE)-based electroanatomical mapping (EAM) improves procedural efficiency and safety in atrial fibrillation (AF) ablation and remains the standard of care. The CARTOSOUND FAM (AI FAM) module uses a deep-lear... read more 

Neurotransmission-modulated whole-brain computation captures full task repertoire.

Cell reports
An important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generation... read more 

Intelligent control for food waste composting using observation-assessment-decision-action cycles: From technical landscape to economic stability analysis.

Journal of environmental management
Intelligent control systems (ICS) based on sensor technology and machine learning (ML) can improve the inefficiency and instability of traditional food waste (FW) composting processes, yet quantitative, deployment-oriented techno-economic assessments... read more