Latest AI and machine learning research in sports medicine for healthcare professionals.
Entraining human gait with a periodic mechanical perturbation has been proposed as a potentially eff...
In the field of EMG-based force modeling, the ability to generalize models across individuals could ...
Single bicycle crashes, i.e., falls and impacts not involving a collision with another road user, ar...
Soft piezoresistive pressure sensors play an underpinning role in enabling a plethora of future Inte...
Kidney injury molecule-1 (Kim-1), a specific marker of kidney injury, is usually not expressed in n...
The objective of this study was to evaluate the effect of low pneumoperitoneum pressure (Pnp) on ren...
AIM: Athletic pre-season testing can establish functional baseline for comparison following concussi...
is an opportunistic fungal pathogen that causes meningitis in >152,000 immunocompromised individual...
In the process of rehabilitation treatment for stroke patients, rehabilitation evaluation is a signi...
This study presents the biomimetic design of the structure and controller of AutoLEE-II, a self-bala...
Adaptive compliance control is critical for rehabilitation robots to cope with the varying rehabilit...
To construct a deep learning knowledge distillation framework exploring the utilization of MRI alon...
Functional MRI has emerged as a powerful tool to assess the severity of Post-concussion syndrome (PC...
This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash sever...
From biological organs to soft robotics, highly deformable materials are essential components of nat...
In the present study, fungi were isolated and screened from barren land in south-eastern Coalfields ...
Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic ...
In the last years, several techniques of artificial intelligence have been applied to data from COVI...
This study proposes a novel gait rehabilitation method that uses a hybrid system comprising a powere...
Machine learning head models (MLHMs) are developed to estimate brain deformation from sensor-based k...
RATIONALE AND OBJECTIVES: The absence of published reference values for multilayer-specific strain m...