Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparosc...
The identification of major histocompatibility complex (MHC)-binding peptides in mass spectrometry (...
Multi-site training methods for artificial neural networks are of particular interest to the medical...
A smart home provides a facilitated environment for the detection of human activity with appropriate...
Heat shock proteins (HSPs) are ubiquitous in living organisms. HSPs are an essential component for c...
The objective of our study was to systematically review the literature about the application of art...
Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessm...
Spiking neural networks (SNNs) with the event-driven manner of transmitting spikes consume ultra-low...
The inverse relationship between the cost of drug development and the successful integration of drug...
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying cause...
Deep learning in in vitro fertilization is currently being evaluated in the development of assistive...
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Re...
Spasticity is a motor disorder that causes stiffness or tightness of the muscles and can interfere w...
Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actio...
OBJECTIVE: To report the fidelity of the enhanced upper limb therapy programme within the Robot-Assi...
BACKGROUND: The development of deep learning (DL) algorithms is a three-step process-training, tunin...
Bloom's Taxonomy, an integral component of learning theory since its inception, describes cognitive ...
Local trauma care and regional trauma systems are data-rich environments that are amenable to machin...
OBJECTIVE: In machine learning, it is evident that the classification of the task performance increa...
The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise...
This study aimed to identify which physical and technical-tactical performance indicators (PI) can c...