Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Bias in neural network model training datasets has been observed to decrease prediction accuracy for...
The recent release of ChatGPT, a chat bot research project/product of natural language processing (N...
This study presents the biomimetic design of the structure and controller of AutoLEE-II, a self-bala...
Sophisticated and modern crop improvement techniques can bridge the gap for feeding the ever-increas...
Robotic assisted surgery (RAS) has seen a global rise in adoption. Despite this, there is not a stan...
OBJECTIVES: To validate a novel stepwise strategy in which computed tomography-derived fractional fl...
The use of data from randomized clinical trials to justify treatment decisions for real-world patien...
INTRODUCTION: Medical imaging is arguably the most technologically advanced field in healthcare, enc...
PURPOSE: Attaining sufficient microsurgical skills is paramount for neurosurgical trainees. Kinemati...
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring...
P300 event-related potential (ERP) signals are useful neurological biomarkers, and their accurate cl...
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous...
MRI-guided radiotherapy systems enable beam gating by tracking the target on planar, two-dimensional...
This research investigates the potential of in vivo learning to enhance visual representation learni...
Artificial muscle is a kind of thread-like actuator that can produce contractile strain, generate fo...
Anatomical differences between sexes in the vestibular system have been reported. It has also been ...
Predicting vigilance impairment in high-risk shift work occupations is critical to help to reduce wo...
Utilising three artificial intelligence (AI)/machine learning (ML) tools, this study explores the pr...
Factors affecting the efficiency of walking independence in patients with subacute stroke following ...
The efficacy of human activity recognition (HAR) models mostly relies on the characteristics derived...
INTRODUCTION: A common task in the analysis of microbial communities involves assigning taxonomic la...