Latest AI and machine learning research in clinical trials for healthcare professionals.
With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitment information through the Internet is getting higher and higher, and the amount of human resource information, such as talent information and job information, has also increased unprecedentedly, which makes human resource services face information overload. Especially with the gradual increase of th...
INTRODUCTION: Cough is one of the most common presenting symptoms of COVID-19, which can persist for weeks or months.
INTRODUCTION: Patient safety classifications/ontologies enable patient safety information systems to receive and analyze patient safety data to improv...
OBJECTIVE: To evaluate the clinical effectiveness of micro-hand robot-assisted cholecystectomy (MRC) by comparing the clinical outcomes of patients wi...
With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitment information through the Internet is getting high...
BACKGROUND: Combining robotic therapy (RT) with task-oriented therapy is an emerging strategy to facilitate motor relearning in stroke rehabilitation....
OBJECTIVES: To prospectively analyse robotically administered transperitoneal transversus abdominis plane (robot-assisted transversus abdominis plane ...
Leg length discrepancies are common orthopedic problems with the potential for poor functional outcomes. These are frequently assessed using bilateral...
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand function rehabilitation. Motor imagery (MI) based B...
Flagging the presence of cardiac devices such as pacemakers before an MRI scan is essential to allow appropriate safety checks. We assess the accuracy...
The background of this study is to assess the feasibility, clinical utility and safety of intra-corporeal robotic-sewn anastomosis (ICrA) in completel...
This paper presents an in-depth study and analysis of the prediction model of force resource recruitment demand using a convolutional neural network c...
BACKGROUND: Microsurgery allows complex reconstruction of tissue defects after oncological resections or severe trauma. Performing these procedures ma...
Effects of the combined task-oriented trainings with botulinum toxin A (BoNT-A) injection on improving motor functions and reducing spasticity remains...
OBJECTIVE: To determine whether proficiency-based progression (PBP) training leads to better robotic surgical performance compared to traditional trai...
In this article, we develop a robust sliding-mode nonlinear predictive controller for brain-controlled robots with enhanced performance, safety, and r...
Deep learning-based convolutional neural networks have enabled major advances in development of artificial intelligence (AI) software applications. M...
Based on the theory of lightweight neural networks, this paper presents a safety evaluation model for smart construction devices. The model index syst...
INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of eukaryotic cells that regulates import and export of b...
Recently, the safety of workers has gained increasing attention due to the applications of collaborative robots (cobot). However, there is no quantita...