Latest AI and machine learning research in sports medicine for healthcare professionals.
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation a...
Gait refers to the patterns of limb movement generated during walking, which are unique to each in...
This study examines the potential causal relationship between head injury and the risk of developi...
We present a hybrid brain-machine interface (BMI) that integrates steady-state visually evoked pot...
Accurate morphometric assessment of cartilage-such as thickness/volume-via MRI is essential for mo...
Abdominal aortic aneurysm (AAA) is a life-threatening condition involving the permanent dilation o...
This study aims to advance surgical phase recognition in arthroscopic procedures, specifically Ant...
Manual segmentation is labor-intensive, and automatic segmentation remains challenging due to the ...
Stable diffusion models represent the state-of-the-art in data synthesis across diverse domains an...
Modeling humans in physical scenes is vital for understanding human-environment interactions for a...
Rehabilitation following a stroke faces challenges in offering customized treatment and attaining th...
Background Deep learning (DL) methods enable faster shoulder MRI than conventional methods, but arth...
Robot caregiving should be personalized to meet the diverse needs of care recipients -- assisting ...
This study forms the basis of a digital twin system of the knee joint, using advanced quantitative...
Confidence in the results is a key ingredient to improve the adoption of machine learning methods ...
Accurate human posture classification in images and videos is crucial for automated applications a...
Through participatory design, we are developing a computational system for the semi-automated asse...
An integrated multi-modal characterization of a microbial strain library streamlines the effort for ...
Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...
This study systematically investigates gender differences in lower body biomechanics using high-reso...
Electroencephalograms (EEGs) are time-series records of the electrical potential from collective neu...