Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents a...
Prediction of gas chromatographic retention indices based on compound structure is an important task...
Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards,...
Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...
In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceu...
With the rapid development of deep learning, computer vision has assisted in solving a variety of pr...
The success of deep learning in recent years has arguably been driven by the availability of large d...
There are many factors that affect athletes' sports performance in sports competitions. The traditio...
This study aims to determine how randomly splitting a dataset into training and test sets affects th...
The synergy between Artificial Intelligence and the Edge Computing paradigm promises to transfer dec...
With the advent of generative adversarial networks, synthesizing images from text descriptions has r...
The forecasting of lower limb trajectories can improve the operation of assistive devices and minimi...
We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, a...
Artificial intelligence (AI) has significant potential to positively impact and advance medical imag...
Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI)....
BACKGROUND: Mild cognitive impairment (MCI) is a stage preceding dementia, and early intervention is...
MR fingerprinting (MRF) is an innovative approach to quantitative MRI. A typical disadvantage of dic...
Accumulation of fat, oil and grease (FOG) in the sumps of wastewater pumping stations is a common fa...
BACKGROUND: Eligibility criteria are the primary strategy for screening the target participants of a...
PURPOSE: To improve the image quality of inflated fixed cadaveric human lungs by utilizing ultra-hig...
Recent progress in deep learning has led to accurate and efficient generic object detection networks...