Latest AI and machine learning research in exercise & fitness for healthcare professionals.
The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal corte...
Spatial visual perception is a fundamental requirement in physical-world applications like autonomou...
Low back pain (LBP) is a pervasive global health challenge, affecting approximately 80% of adults an...
Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels a...
B-cell maturation antigen (BCMA) shedding by {gamma}-secretase generates soluble BCMA (sBCMA) , whic...
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexist...
BackgroundBody composition strongly influences clinical outcomes in older adults, yet body mass inde...
This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advance...
Human Activity Recognition (HAR) with wearable sensors is essential for applications in healthcare...
In orchard automation, dense foliage during the canopy season severely occludes tree structures, m...
Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, the...
In this study, machine learning was used to optimize the aerobic composting process of swine manure ...
Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...
Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study u...
Background: Generative artificial intelligence (AI) deployment in academic medical settings raises...
Detectors often suffer from performance drop due to domain gap between training and testing data. ...
In response to the increasing demand for cardiocerebrovascular interventional surgeries, precise c...
Isometric exercises appeal to individuals seeking convenience, privacy, and minimal dependence on ...
Diabetes has emerged as a significant global health issue, especially with the increasing number o...
OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among o...
Machine learning approaches, such as contextual multi-armed bandit (cMAB) algorithms, offer a prom...