Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....
The success of neural network based methods in named entity recognition (NER) is heavily relied on a...
Time-resolved MR angiography (tMRA) has been widely used for dynamic contrast enhanced MRI (DCE-MRI)...
Lack of ground-truth MR images impedes the common supervised training of neural networks for image r...
Data-driven and machine learning based approaches for detecting, categorising and measuring abusive ...
OBJECTIVES: To assess the effect of a home-based over-ground robotic-assisted gait training program ...
The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RW...
The use of different cardiac imaging modalities such as MRI, CT or ultrasound enables the visualizat...
The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more common...
: The purpose of this study was to examine the relationship between training load and next-day recov...
Enantioseparation of three Ī²-blockers, i.e., atenolol, metoprolol and propranolol, was studied on am...
Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet t...
BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnost...
Assessing cancer response to therapeutic interventions has been realized as an important course to e...
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifyin...
PURPOSE: Simultaneous multi-slice acquisitions are essential for modern neuroimaging research, enabl...
Neuropsychologists in the digital age have increasing access to emerging technologies. The National ...
One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Cla...
Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous pr...
The constant evolution of the illicit drug market makes the identification of unknown compounds prob...
In order to automate the counting of ovarian follicles required in multigeneration reproductive stud...