Latest AI and machine learning research in sports medicine for healthcare professionals.
Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive technology, neurological diseases and behavioral disorders. Functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) are promising techniques for these applications due to their non-invas...
AIM: Orthopedic surgery patients frequently delay early rehabilitation due to postoperative discomfort. This is especially true for younger patients with anterior cruciate ligament injuries who are eager to return to sports after discharge. Despite the recognized benefits of early rehabilitation, a standardized protocol for determining safe weight-bearing timelines post-ACL reconstruction is lacki...
Mild traumatic brain injury can result from shear shock wave formation in the brain in the event of a head impact like in contact sports, road traffic...
BACKGROUND: The assessment and enhancement of lower limb motor function in hemiplegic patients is of paramount importance. The emergence of lower limb...
Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types. Glial cells, the most abundant cell...
Blood-brain barrier disruption and the neuroinflammatory response are significant pathological features that critically influence disease progression ...
OBJECTIVE: This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart th...
With the continuous advancement of computer technology and sensor technology, rehabilitation robots have shown great potential in the rehabilitation t...
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to improve neuroplasticity, is gaining traction. However, ...
BACKGROUND: Recent advancements in rehabilitation sciences have progressively used computational techniques to improve diagnostic and treatment approa...
Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of recovery, which ranges from mild paralysis to seve...
BACKGROUND: Nonoperative and operative management techniques after anterior cruciate ligament (ACL) injury are both appropriate treatment options for ...
Patients with hand dysfunction require joint rehabilitation for functional restoration, and wearable electronics can provide physical signals to asses...
Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical features using machine learning techniques to pro...
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate suffic...
Badminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technical, and cognitive abilities from its players. This ...
Stroke is a leading cause of disability worldwide, driving the need for advanced rehabilitation strategies. The integration of Artificial Intelligence...
Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky...
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventio...
Population aging is an inevitable trend in contemporary society, and the application of technologies such as human-machine interaction, assistive heal...