Latest AI and machine learning research in work force for healthcare professionals.
Malaria is a common and serious disease that primarily affects developing countries and its spread i...
An increasing and aging patient population poses a growing burden on healthcare professionals. Autom...
Robotic surgical systems have rapidly become integrated into colorectal surgery practice in recent ...
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and e...
The field of robotic-assisted surgery is expanding rapidly; therefore, future robotic surgeons will ...
OBJECTIVES: Numbers of research have reported the usage of robot-assisted gait training for walking ...
Environmental DNA (eDNA) metabarcoding provides an efficient approach for documenting biodiversity p...
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts rangin...
Deep learning in bioinformatics is often limited to problems where extensive amounts of labeled data...
Deep neural networks have become increasingly significant in our daily lives due to their remarkable...
OBJECTIVE: This study aimed to discuss the application value of an artificial intelligence-based dia...
This work describes a novel artificial intelligence-based training and monitoring system (AITMS) tha...
Automatic subcutaneous vessel imaging with near-infrared (NIR) optical apparatus can promote the acc...
Real world settings are seldomly just composed of level surfaces and stairs are frequently encounter...
A key aspect of producing accurate and reliable machine learning models for the prediction of proper...
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (A...
As the global population rapidly ages with longer life expectancy and declining birth rates, the nee...
Modern deep neural network training is based on mini-batch stochastic gradient optimization. While u...
The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS traini...
PURPOSE: Activity-based Training (ABT) represents the current standard of neurological rehabilitatio...
Adversarial robustness is considered a required property of deep neural networks. In this study, we ...