Latest AI and machine learning research in exercise & fitness for healthcare professionals.
This study aims to demonstrate that demographics combined with biometrics can be used to predict obe...
The research is aimed at exploring the potential of marigold petal tea (MPT), rich in polyphenol co...
Many models using the aid of artificial intelligence have been recently proposed to predict the prog...
We trained machine learning models to identify IMI in late-lactation cows at dry-off to guide antibi...
Obesity is closely associated with various chronic diseases.Therefore, accurate, reliable and cost-e...
Oxygen consumption ([Formula: see text]) is an important measure for exercise test, such as walking ...
INTRODUCTION: Body mass index (BMI) is inadequately recorded in US administrative claims databases. ...
Aerobic Granular Sludge (AGS) has advantages over Activated sludge (AS) but faces challenges with lo...
OBJECTIVE: This study aimed to evaluate the effectiveness of robot-assisted gait training (RAGT) and...
Physical inactivity is a significant public health concern. Consideration of inter-individual variat...
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA...
To identify patterns in big medical datasets and use Deep Learning and Machine Learning (ML) to reli...
In adult patients with ureteropelvic junction obstruction (UPJO), little data exist on predicting p...
Health professional education stands to gain substantially from collective efforts toward building v...
The risk behaviors underlying the most prevalent chronic noncommunicable diseases (NCDs) encompass a...
Semantic comprehension aims to reasonably reproduce people's real intentions or thoughts, e.g., sent...
Lactate analysis plays an important role in sports science and training decisions for optimising per...
In the pursuit of advancing health and rehabilitation, the quintessence of human motion recognition ...
Significant research progress has been made in the field of protein structure and fitness prediction...
Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors f...
Cardiovascular diseases are the leading cause of death globally. As cardiovascular risk factors cont...