Latest AI and machine learning research in sports medicine for healthcare professionals.
Manual scoring of the Action Research Arm Test (ARAT) for upper extremity assessment in stroke reh...
Purpose To develop a deep learning (DL) model that derives aligned strain values from cine (noncontr...
While deep learning has shown strong performance in musculoskeletal imaging, existing work has lar...
This paper presents a dynamic arthroscopic navigation system based on multi-level memory architect...
Patients with neurological conditions require rehabilitation to restore their motor, visual, and c...
To solve the safety problems caused by the restriction of interaction space and the singular configu...
Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and we...
This study investigates the application of novel model architectures and large-scale foundational ...
In the care sector, professionals face numerous challenges, such as a lack of resources, overloaded ...
OBJECTIVE: Cardiac rehabilitation (CR) improves survival, reduces hospital readmissions, and enhance...
Small Language Models (SLMs) have potential to be used for automatically labelling and identifying...
Physical rehabilitation exercises suggested by healthcare professionals can help recovery from var...
Accurate identification of material parameters is crucial for predictive modeling in computational...
The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...
The deployment of autonomous virtual avatars (in extended reality) and robots in human group activ...
Strain sensors are gaining popularity in soft robotics for acquiring tactile data due to their fle...
Classical radiomic features have been designed to describe image appearance and intensity patterns...
Underactuated soft robot hands offer inherent safety and adaptability advantages over rigid system...
Accurate gait event detection is crucial for gait analysis, rehabilitation, and assistive technolo...
Rehabilitation is essential and critical for post-stroke patients, addressing both physical and co...
Time series data, defined by equally spaced points over time, is essential in fields like medicine...