Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: To compare the quality of life (QOL) in patients who underwent robot-assisted radical pr...
Modern medicine, both in clinical practice and research, has become more and more based on data, whi...
PURPOSE: To perform a comprehensive intraindividual objective and subjective image quality evaluatio...
BACKGROUND: Recently, robotic surgery has been introduced as a new surgical approach to the thyroid.
Accurate prediction of effluent total nitrogen (E-TN) can assist in feed-forward control of wastewat...
BACKGROUND: Contouring error is one of the top failure modes in radiation treatment. Multiple effort...
BACKGROUND AND OBJECTIVE: Deep learning is applied in medicine mostly due to its state-of-the-art pe...
INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machin...
OBJECTIVES: To determine the feasibility of epidural anesthesia in patients undergoing transvesical ...
PURPOSE: To compare noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR) and image qual...
BACKGROUND: In the field of neurorehabilitation, robot-assisted therapy (RAT) and virtual reality (V...
OBJECTIVE: Investigate the performance of qualitative review (QR) for assessing dynamic susceptibili...
Medical device reliability is the ability of medical devices to endure functioning and is indispensa...
BACKGROUND: To evaluate the image quality of lower extremity computed tomography angiography (CTA) w...
Dementia poses a growing challenge for health services but remains stigmatized and under-recognized....
BACKGROUND: Robot-assisted total knee arthroplasty (rTKA) may improve clinical outcomes for patients...
BACKGROUND: Robot-assisted ventral mesh rectopexy is considered a valid option in the treatment of r...
The teaching quality evaluation of physical education is an important measure to promote the profess...
With the rise of mobile robotics, including self-driving automobiles and drones, developing artifici...
From the widespread use of smartphones and tablets to the multitude of applications available, older...
In recent years, deep learning models have attracted much attention for classification purposes in c...