AI Medical Compendium

Establishment of prediction equations for available energy values of sorghum in broilers using machine learning and stepwise regression methods.

Poultry science Apr 15, 2026

This study aimed to determine the available energy values of sorghum for Arbor Acres (AA) broilers and to develop and compare prediction equations using multivariate linear stepwise regression (MLSR) and machine learning-based linear regression (LR).... read more

Advancing twin transition in wastewater management for nitrogen cycle.

Water research Apr 15, 2026

Ammonia-nitrogen is a major anthropogenic pollutant in agricultural, municipal, and industrial wastewater worldwide. However, it can be transformed into a valuable resource through the twin transition that integrates green technological innovations w... read more

Automated detection of superior mesenteric artery occlusion on post-contrast CT Using a 3D deep learning model.

Clinical imaging Apr 15, 2026

PURPOSE: To develop and evaluate a 3D deep learning model for detecting superior mesenteric artery occlusion (SMAO) on post-contrast abdominal CT examinations and to assess its performance and clinical impact in a prospective setting. METHODS: A natu... read more

MUSIOMICS: A multi-region radiomics framework that outperforms single-region analysis in classifying malignant pulmonary nodules.

Computer methods and programs in biomedicine Apr 15, 2026

BACKGROUND AND OBJECTIVE: Radiomic studies in lung cancer have primarily analyzed single-domain features extracted separately from intranodular (Zone-1) or perinodular (Zone-2) regions, potentially overlooking their biological interdependence. We dev... read more

Improving predictive accuracy for soil cadmium distribution in highly heterogeneous region based on a synergistic dual-stage feature selection strategy.

Journal of hazardous materials Apr 15, 2026

Cadmium (Cd) contamination in soil poses a significant threat to crop yield and public health. Accurately predicting its spatial distribution in highly heterogeneous regions remains challenging due to environmental complexity and high-dimensional dat... read more

Seasonal variations in sources and dynamics of surface water-groundwater nitrate in a plain river network area: Based on hydrochemical, dual isotope approach and feature importance interpretation.

Journal of hazardous materials Apr 15, 2026

Understanding the seasonal dynamics of nitrate pollution in interconnected surface water (SW) and groundwater (GW) systems is critical for effective nitrogen management in agricultural landscapes. This study integrated hydrochemical characterization,... read more

Chemometrics, VIS-NIR-SWIR spectroscopy, and deep learning algorithms to classify and predict qualitative attributes of rice in grain processing and storage units.

Food chemistry Apr 15, 2026

The study aimed to investigate the relationship between physical quality classifications based on grain defects and the physicochemical attributes of milled rice using non-destructive techniques combined with machine learning algorithms as a method f... read more

X2Shape: CT-free 3D multi-organ reconstruction with biplanar X-rays.

Medical image analysis Apr 15, 2026

Reconstructing three-dimensional (3D) anatomy from routine X-ray imaging remains a long-standing challenge, promising high accessibility and minimal radiation exposure compared to computed tomography (CT). We propose X2Shape, a deep learning framewor... read more

Machine learning paradigms in natural and engineered water systems: From proof-of-concept to trustworthy deployment.

Water research Apr 15, 2026

Machine learning is increasingly used to model and manage water systems, from rivers and aquifers to treatment plants and distribution networks. Yet many studies remain proof-of-concept: models are trained on sparse or siloed data, behave as black bo... read more

Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics.