Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective cli...
Risk control in complex transport construction is complicated due to the dangerous nature of high va...
A key aspect of producing accurate and reliable machine learning models for the prediction of proper...
Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or othe...
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (A...
Deep learning technology has been employed for precise medical image segmentation in recent years. H...
Contemporary approaches for animal identification use deep learning techniques to recognize coat col...
The emergence of large language models has led to the development of powerful tools such as ChatGPT ...
BACKGROUND: Navigating through the bronchial tree and visualizing all bronchial segments is the init...
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 ...
This paper makes a case for digital mental health and provides insights into how digital technologie...
INTRODUCTION: Despite considerable interest in robotic surgery, successful incorporation of robotics...
Despite the fact that traditional deep learning (DL) approaches provide promising accuracy and effic...
PURPOSE: The utility efficiency of medical devices is important, especially for countries such as Ch...
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the healthcare sec...
The application of artificial intelligence (AI) in medical practice is spreading, especially in tech...
. UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear acce...
Digital twins derived from 3D scanning data were developed to measure soft tissue deformation in hea...