Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
A patient's electronic health record (EHR) contains extensive documentation of the patient's medical...
The da Vinci Skills Simulator (DVSS) is an effective platform for robotic skills training. Novel tr...
Postoperative acute urinary retention (pAUR) is a known occurrence after robot-assisted laparoscopi...
In this research, two nonlinear models, namely; adaptive neuro-fuzzy inference system and feed-forwa...
A central ambition of the robotics field has been to increasingly miniaturize such systems, with per...
The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was...
Robot-assisted radical cystectomy (RARC) continues to expand, and several surgeons start training fo...
We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....
The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RW...
Enantioseparation of three β-blockers, i.e., atenolol, metoprolol and propranolol, was studied on am...
BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnost...
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifyin...
Neuropsychologists in the digital age have increasing access to emerging technologies. The National ...
The constant evolution of the illicit drug market makes the identification of unknown compounds prob...
Using standard digital cameras in combination with deep learning (DL) for pose estimation is promisi...
The analysis of leukocyte recruitment in intravital video microscopy (IVM) is essential to the under...
Prism adaptation is a method for studying visuomotor plasticity in healthy individuals, as well as f...
In 2015, we provided an overview of the use of digital technologies in clinical trials, both as a me...
With the development of artificial intelligence technologies, robotic training partner is becoming a...
Generative adversarial networks have achieved remarkable performance on various tasks but suffer fro...
Proteomics, the study of all the proteins in biological systems, is becoming a data-rich science. Pr...