Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Forecasting regional economic activity is a progressively significant element of regional economic r...
BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is uncl...
Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Co...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple s...
OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning imag...
Machine learning-based models of protein fitness typically learn from either unlabeled, evolutionari...
In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of...
This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) us...
Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment ...
There is interest in whether nicotine could enhance attention in sporting performance, but evidence ...
Characterization of protein complexes, i.e. sets of proteins assembling into a single larger physica...
The vast expansion of research in human-robot interactions (HRI) these last decades has been accompa...
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguina...
Developing artificial intelligence (AI) agents is challenging for efficient exploration in visually ...
: The lumbar stabilization exercise is one of the most recommended treatments in medical professiona...
Supervised training of human activity recognition (HAR) systems based on body-worn inertial measurem...
UNLABELLED: Background and motivation: Every year, millions of Muslims worldwide come to Mecca to pe...
This paper presents a wearable device, fitted on the waist of a participant that recognizes six acti...
Directed evolution, a strategy for protein engineering, optimizes protein properties (i.e., fitness)...
A high-performing interpretable model is proposed to predict the risk of deterioration in coronaviru...
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discover...