Artificial Intelligence Medical Compendium

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

Showing 47,391 to 47,400 of 224,199 articles

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2.

Journal of chemical theory and computation
Dopants can tune the performance of MoS2 in various applications, but the use of molecular dynamics simulations for doped MoS2 materials discovery is limited by the lack of multidopant interatomic potentials. Universal machine learning interatomic po... read more 

Screening Biomarkers for Nerve Injury Using Weighted Gene Co‐Expression Network Analysis and Machine Learning.

Brain and Behavior
BACKGROUND: Nerve injury triggers complex molecular responses involving immune activation and neuronal damage, yet the key regulatory genes and their mechanisms remain poorly understood. Here, we integrated multi‐transcriptomic datasets and machine l... read more 

Microplastic detection and recognition system enabled by a triboelectric nanogenerator and machine learning techniques.

The Analyst
The toxicity of microplastic pollutants is closely associated with their material, size, and concentration. However, current detection methods are plagued by issues such as high cost, long processing times, and inadequate database coverage. Therefore... read more 

Leveraging AI solutions for sustainable practice in pediatric radiology: a practical guide and an educational tool.

Pediatric radiology
Pediatric imaging presents distinct and urgent sustainability challenges, in part driven by its unique subspecialty demands: safeguarding the lifetime radiation risks of children, providing accurate diagnoses during their dynamic periods of growth, a... read more 

A Surface-Enhanced Raman Scattering-Digital Microfluidics Biosensing Platform Integrated with a 1D-Convolutional Neural Network for Noninvasive Detection of Inflammation Markers.

ACS sensors
The noninvasive detection of multiple inflammatory markers (IMs) for early sepsis diagnosis is challenging. Therefore, herein, we innovatively developed an integrated sensing platform based on surface-enhanced Raman scattering (SERS) and digital micr... read more 

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

European radiology
OBJECTIVES: Vertebral fractures are severe complications of osteoporosis but are frequently missed on computed tomography (CT). Differentiating true fractures from non-osteoporotic vertebral height loss remains challenging; deep learning (DL) models ... read more 

Which of the five anthropometric and lipid-based indexes best predicts hypertension? A machine learning approach.

Internal and emergency medicine
Hypertension is associated with anthropometric and lipid-based indexes. This study aimed to examine and compare the predictive performance of these indexes, individually and in combination, using conventional statistical methods and modern machine le... read more