Artificial Intelligence Medical Compendium

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

Showing 16,411 to 16,420 of 213,568 articles

A hybrid CNN-GCN framework for interpretable Alzheimer's disease diagnosis from MRI scans.

Neuroscience
Medical image analysis for Alzheimer's Disease (AD) diagnosis faces two key challenges: capturing spatial dependencies between anatomically connected brain regions and providing clinically interpretable explanations. While Convolutional Neural Networ... read more 

Differential cerebral white matter tract alterations in generalized anxiety disorder revealed by ultra-high-field 7 T diffusion-weighted imaging.

Journal of affective disorders
Generalized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, yet its underlying white matter (WM) microstructural alterations remain unclear owing to inconsistent findings and technical limitations in prior neuroi... read more 

Mapping heterogeneous predictors of problematic smartphone use in Chinese adolescents: A machine learning approach with a nationally representative sample.

Journal of affective disorders
Problematic smartphone use (PSU) has become a significant global public health issue among children and adolescents. While previous research has identified various risk factors, studies utilizing nationally representative samples and advanced predict... read more 

Enhancing prediction of inpatient deterioration by combining clinical and nurse concern features, with or without temporal clustering.

JAMIA open
BACKGROUND: Early warning systems (EWSs) help clinicians identify deteriorating patients using clinical data, such as vital signs. However, standard systems struggle to capture nuanced nursing concerns. The Healthcare Process Model-ExpertSignals (HPM... read more 

A machine learning-based workflow for transaminase selection.

Chemical science
Transaminases can be strategically used in medicinal chemistry for the synthesis of chiral amine building blocks in a straightforward manner that alleviates the need for chiral preparative separations. However, selection of the commercial transaminas... read more 

Thyroid disease detection using enhanced extreme learning machine based on drop-connect method.

Scientific reports
The long-term physiologic effects of thyroid problems make them one of the most important endocrine disorders. Even if a lot of machine learning and deep learning techniques have been presented out for the early detection of thyroid disease, it is st... read more 

Carbon halogen bond dissociation energy predictions through automated machine learning pipeline.

Scientific reports
Bond dissociation energy prediction for the carbon halogen (C-X) bond is quite important in chemistry, due to range applications of C-X bond in the drug design, reaction mechanism and material sciences fields. In the present research, a robust machin... read more 

Spatiotemporal attention-based dance motion recognition and intelligent correction system using 3D motion capture.

Scientific reports
Dance motion recognition and correction present unique challenges due to the subtle distinctions in movement execution that differentiate correct performance from flawed attempts. This paper proposes an integrated system combining 3D motion capture t... read more 

Experimental and predictive analysis of pile raft foundation in clayey soils using machine learning and MATLAB tools.

Scientific reports
This study demonstrates the performance of piled raft foundations in a variety of clay soils collected from four states in southern India. Comprehensive physical, chemical, mineralogical and geotechnical characterisation of 12 different soil samples ... read more