Latest AI and machine learning research in health policy for healthcare professionals.
This study addresses the critical challenge of assessing the quality of groundwater and surface wate...
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic reson...
Electroencephalogram (EEG) signals are important bioelectrical signals widely used in brain activity...
INTRODUCTION: Knee osteoarthritis (OA) significantly impacts the quality of life of those afflicted,...
The aim of this study was to explore application of visible and near-infrared (Vis/NIR) spectroscopy...
Healthcare insurance fraud imposes a significant financial burden on healthcare systems worldwide, w...
How to utilize modern technological means to provide both accurate scoring and objective feedback fo...
BACKGROUND AND PURPOSE: The most widely used social media platform for video content is YouTubeTM. T...
In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target ...
This study aimed to investigate the impact of X-ray irradiation pretreatment at varying doses (0.5, ...
The gold standard diagnosis for malaria is the microscopic visualization of blood smears to identify...
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess ...
BACKGROUND: Sarcopenia and reduced muscle quality index have garnered special attention due to their...
BACKGROUND: Given the swift advancements in artificial intelligence (AI), the utilisation of AI-base...
OBJECTIVE: Identifying fraud in healthcare programs is crucial, as an estimated 3%-10% of the total ...
Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking pro...
The gut microbiome, recognized as a critical component in the development of chronic diseases and ag...
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown ...
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtua...
Deep neural networks (DNNs) have remarkable potential to reconstruct ultrasound images. However, thi...
Digital therapeutics (DTx) are an emerging medical therapy comprising evidence-based interventions t...