Latest AI and machine learning research in exercise & fitness for healthcare professionals.
The maternal cardiovascular system undergoes functional and structural adaptations during pregnancy ...
Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment opt...
Artificial Intelligence, specifically advanced language models such as ChatGPT, have the potential t...
Deep learning models have demonstrated remarkable performance in the classification of motor imagery...
Sociodemographic and lifestyle factors (sleep, physical activity, and sedentary behavior) may predic...
OBJECTIVE: Understanding the characteristics related to cardiorespiratory fitness after stroke can p...
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Weste...
This study aimed to identify barriers and facilitators to older adults' acceptance of socially assis...
INTRODUCTION: Radiologist shortages threaten the sustainability of breast cancer screening programme...
INTRODUCTION: Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effect...
BACKGROUND: Although risk calculators are used to prognosticate postoperative outcomes following rev...
Skill acquisition is a key area of research in cognitive psychology as it encompasses multiple psych...
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives...
In recent years, the utility of polygenic risk scores (PRS) in forecasting disease susceptibility fr...
Strokes are a leading global cause of mortality, underscoring the need for early detection and preve...
To meet the increased demand for home workouts owing to the COVID-19 pandemic, this study proposes a...
This study investigates the application of cavitation in non-invasive abdominal fat reduction and bo...
Calcification of the aortic valve (CAVDS) is a major cause of aortic stenosis (AS) leading to loss o...
INTRODUCTION: Metabolic syndrome (MetS) is considered to be an important parameter of cardio-metabol...
. Our goal is to decode firing patterns of single neurons in the left ventralis intermediate nucleus...
Among the various physiological signals, electrocardiogram (ECG) is a valid criterion for the classi...