Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson's disease...
In previous experiments we have conducted on the Search Engine Manipulation Effect (SEME), we have f...
After a wave of breakthroughs in image-based medical diagnostics and risk prediction models, machine...
Functional near-infrared spectroscopy (fNIRS) seems opportune for neurofeedback in robot-assisted re...
Channel Pruning is one of the most widespread techniques used to compress deep neural networks while...
OBJECTIVE: Decision for intervention in acute subdural hematoma patients is based on a combination o...
This study employs diverse machine learning models, including classic artificial neural network (ANN...
INTRODUCTION: The recruitment step of all clinical trials is time consuming, harsh and generate extr...
INTRODUCTION: In recent years, the influence of artificial intelligence technology on clinical trial...
BACKGROUND: Technological advances have expanded nursing education to include generative artificial ...
Liver vessel segmentation in magnetic resonance imaging data is important for the computational anal...
Protein-protein interactions (PPIs) have shown increasing potential as novel drug targets. The desig...
BACKGROUND: Machine learning may assist with the identification of potentially inappropriate penicil...
The retention time (RT) of contaminants of emerging concern (CECs) in liquid chromatography-high-res...
Skin cancer, including the highly lethal malignant melanoma, poses a significant global health chall...
BACKGROUND: Chatbots have gained popularity in the healthcare industry due to their ability to provi...
Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care...
BACKGROUND: Artificial intelligence (AI) generative large language models are powerful and increasin...
Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention for tacklin...
Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clini...
Research in the field of human activity recognition is very interesting due to its potential for var...