Artificial Intelligence Medical Compendium

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

Showing 46,201 to 46,210 of 224,055 articles

Performance of a complete AI radiographic suite across 258,373 X-rays from 26 countries: A worldwide evaluation.

Radiography (London, England : 1995)
INTRODUCTION: Radiographic imaging is the primary imaging tool for assessing the presence of an abnormality with two main objectives: detection and characterization. This study reports a large-scale, international, multi-center, retrospective evaluat... read more 

Comparative evaluation of l-theanine synthetases coupled with PPK2 based ATP regeneration under buffer-free and Mn2 + optimized conditions.

Enzyme and microbial technology
l-theanine (γ-glutamylethylamide) is a bioactive amino acid widely valued for its functional and nutraceutical applications. While enzymatic synthesis using γ-glutamylmethylamide synthetase (GMAS) has been extensively studied, the potential of γ-glut... read more 

A two-stage gradient boosting framework coupled with Lagrangian particle tracking for rapid atmospheric radionuclide dispersion prediction in nuclear emergency response.

Journal of environmental radioactivity
Predicting the atmospheric dispersion of radionuclides is central to nuclear emergency response, yet any useful prediction tool must balance physical fidelity against the speed that real-time decision-making demands. This trade-off is particularly ch... read more 

Automatic sleep scoring for real-time monitoring and stimulation in individuals with and without sleep apnea.

Computers in biology and medicine
Digital therapeutics, enabled by advanced machine learning algorithms and medical wearable devices, offer a promising approach to streamline diagnostics and improve access to healthcare. Within this framework, automatic sleep scoring can provide accu... read more 

Artificial intelligence revolution in toxicology: Clinical precision, global equity, and the 2030 roadmap.

Toxicology letters
Artificial intelligence (AI) is transforming toxicology by enabling faster, more accurate, and more equitable approaches to diagnosis, treatment, research, and education. This review synthesizes recent advances in AI applications across clinical toxi... read more 

Comparative Performance of State-of-the-Art LLMs on the KDLE: A 2025 Benchmark Study.

International dental journal
INTRODUCTION AND AIMS: To evaluate the diagnostic and reasoning capabilities of 4 state-of-the-art large language models (LLMs) on the Korean Dental Licensing Examination (KDLE) and to assess their potential as educational tools in dentistry. METHODS... read more 

Particle-Based Detection of Surface Chemistry via Optical Microscopy-Integrating Microfluidics, Light-Induced Activity of Colloids and Data Science.

Small methods
We present particle-resolved methods for determining the porosity and surface area of microparticles, based on single-particle trajectory analysis conducted via optical video microscopy integrated with microfluidics and LED illumination. This techniq... read more 

Skin-Interfaced Wireless Biomechanical System for Detecting Aspiration in Elderly Populations.

Advanced healthcare materials
Aspiration is prevalent in the elderly population, and can lead to life-threatening conditions such as suffocation and aspiration pneumonia. However, gold-standard diagnostic approaches for aspiration-videofluoroscopic swallowing studies (VFSS) and f... read more 

Toward Prostate Cancer Early Warning with a Self-Powered Wearable Biosensing Platform Integrated with Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Current prostate cancer detection methods remain limited in non-invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine-powered wearable platform for non-invasive sarcosine detection as a proo... read more