Artificial Intelligence Medical Compendium

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

Showing 67,301 to 67,310 of 232,511 articles

A dense recurrent unrolling network leveraging spatio-temporal priors for highly-accelerated dynamic MRI.

Magnetic resonance imaging
Dynamic magnetic resonance imaging (MRI) requires accurate reconstruction from undersampled k-space data to achieve high temporal resolution within clinically acceptable scan times. Deep unrolling architectures have recently emerged as effective solu... read more 

Adaptive visual selection: Predictive control of visual attention.

Neuroscience and biobehavioral reviews
Visual prioritization has traditionally been explained through stimulus-driven salience. However, emerging evidence from neuroscience and computational modeling supports a predictive processing framework, in which gaze behavior reflects active infere... read more 

Machine learning-based prediction of clinical mastitis in dairy cows: A comparative analysis of 9 algorithms using production and management data.

Journal of dairy science
Mastitis represents one of the most formidable challenges in modern dairy farming, posing significant threats to individual cow health and causing substantial economic losses throughout the dairy production chain. Traditional disease diagnosis method... read more 

Multi-objective consensus optimization for gene regulatory networks inference: A preference-based approach.

Computational biology and chemistry
Gene regulatory networks (GRNs) model key gene interactions, enabling the understanding of essential biological processes and their relationship with diseases. Inferring GRNs from expression data is fundamental in computational biology. However, exis... read more 

Integrative bioinformatics analysis reveals that microplastics promote chronic rhinosinusitis with nasal polyps through NOXO1-mediated oxidative stress and myoepithelial cell reprogramming.

Computational biology and chemistry
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex inflammatory disease whose environmental pathogenic factors remain unclear. Microplastics, as emerging environmental pollutants, have been confirmed to deposit in the respiratory tract an... read more 

FRET-SAM: SAM_Med2D-based automatic FRET two-hybrid analysis.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The fluorescence resonance energy transfer (FRET) two-hybrid assay enables quantification of the stoichiometry and binding affinity of protein interactions directly in living cells, but its broader application remains constr... read more 

Predictive modeling of hospital emergency department demand using artificial intelligence: A systematic review.

International journal of medical informatics
BACKGROUND: Accurately forecasting patient arrivals in hospital emergency departments (EDs) is critical for hospital capacity and planning and clinical decision-making. Artificial intelligence (AI), particularly machine learning (ML) and deep learnin... read more 

Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow.

Biomaterials advances
Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constructs cultured with human mesenchymal stem cells (hBMSCs) in the presence of either Fetal Bovine Serum... read more 

Procymidone residue detection in Allium tuberosum using feature-level data fusion of colorimetric sensor arrays and electronic nose sensor arrays: Comparison of heterogeneous data fusion methods.

Food chemistry
Procymidone residues threaten Allium tuberosum food safety. This study combines an electronic nose (E-nose) with a color sensor array (CSA) for qualitative and quantitative detection of its procymidone residues. By exploring architectural and perform... read more 

Automated Feature Segmentation of Ultra-Widefield OCT Images.

Ophthalmology science
OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en face segmentation of ultra-widefield (UWF) OCT images acquired for retinopathy of prematurity screening. DESIGN: Cross-sectional study. SUBJECTS: Twent... read more