Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Scoliosis is a prominent and disabling spinal deformity often presenting in adolescence, causing pain and movement dysfunction. Treatment involves repeated surgical interventions to straighten the spine gradually. Due to the invasive nature and natural disease progression, patients require a deep understanding of the condition for optimal engagement in treatment and associated physioth...
BACKGROUND: Sex estimation is the first and most important step in establishing a reliable biological identity during the examination of skeletal remains. For sex estimation, the pelvis and cranial bones are primarily preferred. In cases where the pelvis bones are not available, vertebrae are also utilised. The present study focuses on the effectiveness of the fourth-fifth lumbar vertebrae in sex ...
Dementia is a growing global health challenge, and early identification is essential for timely intervention. We evaluated whether foundation model-ba...
OBJECTIVES: To develop and internally validate a radiology-centered machine-learning model using preoperative MRI and clinical characteristics to pred...
OBJECTIVE: To evaluate the accuracy of a commercial deep learning algorithm in measuring spinopelvic parameters on full spine radiographs. MATERIALS A...
BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...
PURPOSE: To identify signal and spatial biomarkers in the lumbar vertebrae of individuals with and without non-specific chronic low back pain (NSCLBP)...
BACKGROUND: Acromial and scapular spine fractures (ASSF) are an uncommon but significant complication following reverse total shoulder arthroplasty (r...
OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationship between vertebral bone density (T12 BMD) and to...
Periprosthetic joint infection (PJI) is one of the most serious complications following artificial joint replacement, posing significant treatment cha...
BACKGROUND: Wrist fractures are prevalent, and the diagnostic performance of artificial intelligence for their detection requires clarification. This ...
The scalable production of high-performance piezoelectric fibers remains a major hurdle for smart textile applications. Here, we report an in situ pol...
OBJECTIVES: Large language models (LLMs), such as Open AI's Chat Generative Pre-Trained Transformer (GPT)-4 and Google Gemini, have gained significant...
Magnetic resonance imaging (MRI) at low magnetic field strengths (under 1Â T) has seen renewed interest, driven by technological advances that enhance ...
BACKGROUND: Optic disc tilt is a morphological change in myopic eyes that complicates clinical interpretation and artificial intelligence (AI)-based a...
2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), a highly toxic persistent organic pollutant (POP), is associated with musculoskeletal disorders, yet its m...
Walking kinematics offer critical insights into human gait, enabling clinicians to assess motor function, diagnose impairments, and monitor rehabilita...
Digital medical images of pediatric orthopedic diseases are widely exchanged and transmitted on medical sharing platforms for medical usage. However, ...
Given the rising incidence of bone metastases, computed tomography is widely used worldwide as the initial imaging modality for their detection. Accur...
PURPOSE: While the multidirectional optical bone densitometry approach, originally proposed based on simulation, has been previously reported, its exp...