Latest AI and machine learning research in exercise & fitness for healthcare professionals.
INTRODUCTION: This mixed methods study examines the effects of AI-mediated language instruction on E...
BACKGROUND Optimizing surgical approaches for robot-assisted partial nephrectomy (RAPN) is vital for...
Given the increasing concern about the destructive impact of sympathetic activities on the Earth, in...
A robotic gym with multiple rehabilitation robots allows multiple patients to exercise simultaneousl...
This study introduces novel deep learning (DL) techniques for effective fitness prediction using a p...
A growing body of evidence on a wide spectrum of adverse cardiac events following oncologic therapie...
MOTIVATION: Typical surgical microscopes used for fluorescence-based lymph node detection experience...
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...
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...
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...
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...