Latest AI and machine learning research in exercise & fitness for healthcare professionals.
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...
Cerebrovascular accidents, commonly known as strokes, represent a prevalent neurological event leadi...
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...
INTRODUCTION: Pharmacologic therapies for symptoms of gastroparesis (GP) have limited efficacy, and ...
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 ...
Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injur...
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...
Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fi...
Spinal and bulbar muscular atrophy (SBMA) progressively impairs gait function, resulting in the need...
The excessive use of electronic devices for prolonged periods has led to problems such as neck pain ...
The increased risk of cardiovascular disease in people with spinal cord injuries motivates work to i...
The controversy surrounding whether serum total cholesterol is a risk factor for the graded progress...
BACKGROUND: Patients with neurological disorders including stroke use rehabilitation to improve cogn...
Over the last decades, the use of artificial intelligence, machine learning and deep learning in med...