Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Roux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m is a challenging pr...
Quantum neural network (QNN) is a neural network model based on the principles of quantum mechanics....
PURPOSE: To evaluate the diagnostic performance of a novel deep learning attenuation correction soft...
Effective prediction of water demand is a prerequisite for decision makers to achieve reliable manag...
Umbrella species and other surrogate-species approaches to conservation provide an appealing framewo...
One of the most interesting characteristics of collaborative robots is their ability to be used in c...
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learnin...
The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS traini...
RAPN can be carried out via a transperitoneal or retroperitoneal approach. The choice between the tw...
Due to the inconvenience of drawing blood and the possibility of infection associated with invasive ...
The prevalence of childhood obesity has increased significantly worldwide, highlighting a need for ...
INTRODUCTION: Physical fitness is regarded as a significant indicator of sarcopenia. This study aime...
PURPOSE: Wii Fit exergames have been less commonly used for the rehabilitation of athletes after Ant...
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...
Hospital acquired infections stemming from contaminated reusable medical devices are of increasing c...
Human Activity Recognition (HAR) has gained significant attention due to its broad range of applicat...
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...
BACKGROUND: Cardiac exercise stress testing (EST) offers a non-invasive way in the management of pat...
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...
The Internet of Things (IoT) is a universal network to supervise the physical world through sensors ...
In recent years, human activity recognition (HAR) has gained significant interest from researchers i...