Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
. The incidence of stroke rising, leading to an increased demand for rehabilitation services. Litera...
Variations in color and texture of histopathology images are caused by differences in staining condi...
BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating...
Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the n...
Due to distribution shift, deep learning based methods for image dehazing suffer from performance de...
The ongoing digital revolution in the healthcare sector, emphasized by bodies like the US Food and D...
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...
OBJECTIVE: Decision for intervention in acute subdural hematoma patients is based on a combination o...
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...
The retention time (RT) of contaminants of emerging concern (CECs) in liquid chromatography-high-res...
Research in the field of human activity recognition is very interesting due to its potential for var...
Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clini...
This study investigates whether simultaneous high-definition transcranial direct current stimulation...
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer....
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical applica...
As dynamic graphs have become indispensable in numerous fields due to their capacity to represent ev...
Dam (reservoir)-induced alterations of flow and water temperature regimes can threaten downstream fi...
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a fr...
The U-shaped convolutional neural network (CNN) has attained remarkable achievements in the segmenta...