Artificial Intelligence Medical Compendium

OBJECTIVE: Artificial intelligence (AI) methods have been widely applied in gait analysis, yet quantitative comparisons across models and their input-output specifications remain limited. This study aims to systematically review and synthesize the ex... read more 

PURPOSE: To evaluate the measurement variability and reproducibility of prone imaging with quantitative computed tomography (QCT) compared with supine imaging with QCT in patients with interstitial lung disease (ILD). METHODS: Data from patients who ... read more 

Near-infrared spectroscopy (NIRS) prediction models offer an expeditious method for assessing the nutritional value of feedstuffs, however, developing high-performance models using undried and unground samples remains challenging. This study aimed to... read more 

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 

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 

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 

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 

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 

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 

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