Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Accurate perioperative risk stratification is essential to patient safety and informed consent in spine surgery. Traditional regression-based risk scores are widely used but have modest predictive performance, while artificial intelligence and machine learning (AI/ML) approaches are increasingly applied to surgical risk prediction. This review synthesizes evidence on spine surgery risk...
BACKGROUND: Knee osteoarthritis (OA) leads to pain, disability, and reduced quality of life. For advanced stages, knee arthroplasty surgery is the standard treatment, yet dissatisfaction and persistent mobility deficits remain common. Current surgical decision-making processes seldom incorporate objective predictors of outcomes, such as biomechanical data. Advances in computer vision, wearable sen...
Generalisation of synthetic CT (sCT) generation to diagnostic MRI data in the spine faces many challenges, particularly when aiming at accurate visual...
With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a signifi...
BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dua...
BACKGROUND: Artificial intelligence (AI) tools are increasingly used to support healthcare communication. Total knee arthroplasty (TKA) is a common or...
Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recogniti...
BACKGROUND: The coronal plane alignment of the knee (CPAK) classification proposes nine knee phenotypes based on constitutional limb alignment and joi...
INTRODUCTION: Patient education materials are essential for informed decision-making. However, their readability often exceeds the sixth-grade reading...
Motion sensing technology can be utilized to capture detailed upper extremity (UE) motion to reconstruct an individual's three-dimensional (3D) reacha...
PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay...
Osteoarthritis (OA) causes joint pain, functional impairment, and significantly impacts patients' quality of life. Recent advancements in artificial i...
Digital dental implant planning using panoramic radiographs and cone beam computed tomography (CBCT) imaging is labor-intensive and prone to error due...
Understanding how grain boundaries mediate fracture remains a critical challenge in designing ductile, high-performance refractory alloys. Here, we ex...
Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, yet the translational pipeline for geroprotective in...
BACKGROUND: With the rising prevalence of primary total hip (THA) and knee arthroplasties (TKA), the number of periprosthetic fractures (PPF) is expec...
BACKGROUND: The majority of studies that measure glenoid bone loss in the context of shoulder instability, are based on a sagittal image, termed the '...
Inertial measurement units (IMUs) provide a portable and low-cost solution for motion monitoring, but their estimation accuracy is strongly influenced...