Latest AI and machine learning research in sports medicine for healthcare professionals.
The shoulder girdle is one of the most complex components of the upper limb, and when coupled with the arm, modeling and prediction become even more challenging. To address this, we propose a modular motion-planning framework that explicitly decouples the shoulder girdle from the arm. This separation simplifies modeling, enhances interpretability, and improves adaptability for rehabilitation scena...
BACKGROUND: Cognitive impairment is a core and enduring deficit in schizophrenia, severely affecting social functioning and quality of life. Traditional assessments such as the MATRICS Consensus Cognitive Battery face limitations in validity and engagement. Virtual reality (VR) serious games may offer an immersive alternative, and machine learning (ML) can uncover complex behavioral patterns. Howe...
OBJECTIVE: Traumatic central cord syndrome (TCCS) is the most common incomplete spinal cord injury, yet the optimal management strategy remains contro...
The burgeoning demands for health care and human-machine interfaces highlight the need for high-performance wearable strain sensors. However, it remai...
The rehabilitation of patients with musculoskeletal disorders is usually associated with the performance of prescribed exercises at home. Performing t...
In the modern era of working, Musculoskeletal Disorders (MSDs) are increasing drastically. One of the leading causes of MSD is Low Back Pain (LBP). Pa...
MicroRNA (miRNA), a class of short non-coding RNA, serves as a metabolically cheap and fast acting mechanism to inhibit translation of complementary m...
To address the lack of reliable biomarkers for mitochondrial dysfunction that drives secondary injury in spinal cord injury (SCI), this study aimed to...
Fear of re-injury after anterior cruciate ligament (ACL) rupture often hinders return-to-sport and has been linked to movement patterns associated wit...
Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in low and middle-income countries. In such countrie...
Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such a...
Online motor learning is central to effective learning and a crucial determinant of functional recovery after stroke. Despite its clinical significanc...
Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional diagnostic criteria based on serum creatinine and u...
Anterior cruciate ligament (ACL) injuries dramatically impact athletes and sporting organisations. Artificial Intelligence (AI) driven systems, such a...
BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke ...
For patients with open joint wounds, postoperative rehabilitation requires real-time and reliable monitoring of physiological parameters. Conventional...
Vision impairment is increasingly recognised as a complex condition shaped not only by ocular pathology but also by cognitive, psychological, social a...
Compensatory movements frequently occur during upper-limb rehabilitation for patients with stroke, potentially impeding effective motor recovery. Visi...
The translation of big data analytics and artificial intelligence (AI) into clinical decision support systems (CDSSs) has advanced from proof of conce...