Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Recommending suitable exercises and providing the reasons for these recommendations is a highly valu...
The Otago Exercise Program (OEP) represents a crucial rehabilitation initiative tailored for older a...
PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scienti...
Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...
Given the current American health insurance environment, many patients do not access physical therap...
The integration of computational thinking (CT) to enhance creativity in design students has often be...
High-incline walking is a relatively new trend with little comparative information. This study compa...
Seasonal water level fluctuations in rivers significantly influenced the cross-media migration, tran...
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screen...
Non-specific shoulder pain is a common musculoskeletal condition, especially among college students,...
Frailty is common among older adults with chronic pain, and early identification is crucial in preve...
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from n...
OBJECTIVE: To determine circulating endothelial progenitor cells (EPC) counts and levels of inflamma...
Nitrous oxide (NO) emissions from wastewater treatment plants (WWTPs) exhibit significant seasonal v...
In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is ...
In the field of brain-computer interfaces (BCIs), the potential for leveraging deep learning techniq...
Step counting devices were previously shown to be efficient in a variety of applications such as ath...
BACKGROUND: Early detection and intervention are crucial for preventing vision-threatening diabetic ...
The latest evolution of the healthcare industry from Industry 1.0 to 5.0, incorporating smart wearab...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...