Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Combining robotic therapy (RT) with task-oriented therapy is an emerging strategy to fac...
Predicting drug-target interactions (DTIs) has become an important bioinformatics issue because it i...
Artificial intelligence (AI) algorithms have shown strong performance for detection of pulmonary em...
The 5G deployment brings forth the usage of Unmanned Aerial Vehicles (UAV) to assist wireless networ...
INTRODUCTION: Smoking and insufficient physical activity (PA), independently but especially in conju...
Surgical residents routinely participate in open and laparoscopic groin hernia repairs. The increasi...
Robotics has been successfully applied in the design of collaborative robots for assistance to peopl...
With the rapid development of machine learning in the medical cloud system, cloud-assisted medical c...
BACKGROUND: Impairments in upper limb motor function and cognitive ability are major health problems...
The background of this study is to assess the feasibility, clinical utility and safety of intra-corp...
We present a protocol which implements deep learning-based identification of the lung adenocarcinoma...
High vehicle mobility, changing vehicle density and dynamic inter-vehicle spacing are all important ...
BACKGROUND: Medical innovations offer tremendous hope. Yet, similar innovations in governance (law, ...
Robot-assisted systems offer great potential for gentler and more precise cochlear implantation. In ...
In this article, the issues of finite-time synchronization and finite-time adaptive synchronization ...
Colorectal cancer (CRC) is the third most common cancer worldwide. Although clinical outcome varies ...
Quantitative studies of cellular morphodynamics rely on accurate cell segmentation in live cell imag...
INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small inci...
INTRODUCTION: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine s...
Machine learning (ML) approaches have demonstrated the ability to predict molecular spectra at a fra...
A correct protocol assignment is critical to high-quality imaging examinations, and its automation c...