Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Current classifications used for total knee arthroplasty (TKA) are static and fail to capture the dynamic behavior of the limb during gait. This study introduces a novel intraoperative method to measure dynamic hip-knee angle (dHKA) using an intra-articular device coupled with a computer-assisted orthopaedic surgery (CAOS) system. This device applies a quasi-constant distraction force ...
BACKGROUND: Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine learning (ML) offer powerful means to enhance prediction of knee OA onset and progression. This bibliometric study maps global research trends and thematic evolution rather than evaluating the...
PURPOSE OF REVIEW: Recently reported criteria are more stringent for classification of axial spondyloarthritis (axSpA) in the absence of positive imag...
BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients with hip fracture, yet its pathogenesis remains u...
BACKGROUND: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. I...
BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify...
Sarcopenia and osteoporosis are prevalent age-related conditions that substantially increase the risk of falls, fractures, and functional decline. Thi...
Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain a...
Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young and middle-aged adults. However, current diagnosi...
The quality of dataset annotations used to train markerless motion capture models is crucial for obtaining reliable joint center estimations from vide...
OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemotherapy and immunotherapy response, and as a prognostic...
BACKGROUND. Clinical application of quantitative CT (QCT) measurements of interstitial lung disease (ILD) for longitudinal monitoring of disease progr...
PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastogenesis and require substantial energy. Although ox...
Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single-nucleoti...
Necrotizing fasciitis (NF) and osteomyelitis (OM) are severe, limb-threatening infections with overlapping features, making early differentiation chal...
BACKGROUND CONTEXT: Recently, functional evaluation using 3D gait analysis (3DGA) proved to predict health-related quality-of-life (HRQOL) scores bett...
PURPOSE: Anatomical information about bone microstructure at the anterior cruciate ligament attachment sites could guide biomimetic strategies in ante...
BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechani...
Nanodiscs have become an exceptionally valuable tool to explore membrane proteins in an environment resembling native membranes. However, it remains u...