Latest AI and machine learning research in health policy for healthcare professionals.
PURPOSE: To validate a CT-based deep learning (DL) hippocampal segmentation model trained on a singl...
The pharmaceutical industry is increasingly embracing laboratory automation to enhance experimental ...
INTRODUCTION: Magnetic Resonance Imaging (MRI) has revolutionized the diagnosis and treatment of mus...
Japanese neurosurgery faces challenges such as a declining number of neurosurgeons and their concent...
Mental disorders are becoming increasingly prevalent worldwide, and accurate incidence forecasting i...
Mortality during the post-weaning phase is a critical indicator of swine production system performan...
Ontologies and terminologies serve as the backbone of knowledge representation in biomedical domains...
BACKGROUND: Stress myocardial perfusion single-photon emission computed tomography (SPECT) imaging (...
PURPOSE: To find the machine learning (ML) method that has the highest accuracy in predicting the se...
This study introduces numerous low-cost gas sensors and a real-time alcoholic beverage classificatio...
UNLABELLED: Errors in antibiotic prescriptions are frequent, often resulting from the inadequate cov...
Water resource management relies heavily on reliable water quality predictions. Predicting water qua...
Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the ...
The informal settlements of Nairobi have higher neonatal and infant mortality rates than the average...
Artificial Intelligence (AI) is transforming healthcare, notably in ophthalmology, where its ability...
RATIONALE AND OBJECTIVE: A single-shot T2-weighted deep-learning-based image reconstruction (DL-HAST...
BACKGROUND: Deployment and access to state-of-the-art precision medicine technologies remains a fund...
BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that...
The contribution of mica mining activities to fluoride (F) contamination in groundwater has been cha...
Radiographic quality control is an integral component of the radiology workflow. In this study, we d...
This paper addresses the tracking control problem of nonlinear discrete-time multi-agent systems (MA...