Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most comm...
Tactile internet applications allow robotic devices to be remotely controlled over a communication m...
BACKGROUND: With the number of older people living alone continuously rising, health-monitoring syst...
Drowning is a major health issue worldwide. The World Health Organization's global report on drownin...
With the development of The Times, social events are increasing, and emergency management has gradua...
Pneumoconiosis staging has been a very challenging task, both for certified radiologists and compute...
Mild traumatic brain injury (mTBI or concussion) is receiving increased attention due to the inciden...
The unconventional nature of molecular communication necessitates contributions from a host of scien...
This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJS...
In recent years, the continuous development of big data, cloud services, Internet+, artificial intel...
Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning...
Decentralized distributed learning is the key to enabling large-scale machine learning (training) on...
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an incr...
By the method of documentation and logical analysis, based on the data, based on logic and based on ...
INTRODUCTION: Durable techniques that prevent postoperative inguinal hernia (IH) after robot-assiste...
Deep learning has an increasingly far-reaching impact on classroom teaching and is an important tren...
Mobility management is an essential process in mobile networks to ensure a high quality of service (...
Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury ...
In emergency scenarios where the on-site information is completely lacking or the original environme...
Supervised deep learning needs a large amount of labeled data to achieve high performance. However, ...
Optimised communication between patients and the imaging team is an essential component of providing...