Artificial Intelligence Medical Compendium

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

Showing 37,811 to 37,820 of 223,469 articles

Digital and Intelligent Optimization Mechanism of the Entire Supply Chain Link Based on Generative Artificial Intelligence and Neural Semantic Analysis.

Big data
In the process of supply chain optimization, data has characteristics such as multi-source heterogeneity and unstructuredness. Traditional supply chain optimization methods that rely on structured data and statistical analysis cannot achieve ideal go... read more 

Univariate- and machine learning-based plasma metabolite signature differentiates PSC-IBD from IBD and is predicted to be driven by gut microbial changes.

Metabolomics : Official journal of the Metabolomic Society
INTRODUCTION: Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestinal tract comprising two major phenotypes, Crohn's disease (CD) and ulcerative colitis (UC). Up to 8% of patients with IBD also develop p... read more 

Convolutional neural network for real‑time localization of ganglionated plexi from bipolar intracardiac electrograms.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing
BACKGROUND: Precise localization of ganglionated plexi (GP) is critical for effective cardioneuroablation, yet current mapping relies on labour‑intensive stimulation and subjective electrogram (EGM) interpretation. Recent advancements in deep learnin... read more 

Fast 3D whole-body occupational dose estimation in interventional radiology using physics-informed deep learning.

Radiological physics and technology
Occupational radiation exposure in interventional radiology is spatially heterogeneous and inadequately captured by conventional point-based dosimetry. This study proposes a physics-informed deep learning framework for fast prediction of three-dimens... read more 

Clinical Validation of Apollo™, A Novel Web-Based Tool for Refractive Error Self-Assessment.

Journal of medical systems
Refractive errors are a leading cause of visual impairment, with substantial economic impact. Digital refraction systems may help improve access to eye care, especially for underserved populations. Considering their relevance, this study evaluated th... read more 

Comparative Mortality Risk of Aripiprazole, Olanzapine, Quetiapine, and Risperidone in Alzheimer's Disease: A Real‑World Retrospective Cohort Study with Treatment Effect Heterogeneity Analysis.

CNS drugs
BACKGROUND: Second-generation antipsychotics (SGAs) are frequently used off-label to manage behavioral symptoms in Alzheimer's disease (AD), despite ongoing concerns about their safety. Comparative evidence on mortality risk across specific SGAs rema... read more