Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Tuberculosis spondylitis (TS), also known as Pott's disease, is the most common destructive form of musculoskeletal tuberculosis and poses significant clinical challenges, particularly when complicated by osteoporosis. Osteoporosis exacerbates surgical outcomes and increases the risk of complications, making its accurate prediction crucial for effective patient management.
Understanding the dynamics of complex, whole-body interpersonal coordination behavior in humans is an important subject in behavioral science. However, due to the challenges of analyzing complex causal relationships among multiple body components with conventional techniques, this area remains underexplored. To address this issue, this study proposes a new analytical framework that attempts to und...
BACKGROUND: Macrophage polarization exacerbates the pathological processes of osteoarthritis (OA). Astragalus membranaceus (AM) can repair chondrocyte...
PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluoroscopic images; therefore, we develop an end-to-end M...
Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) care across diagnostics, treatment planning, workfl...
Robotic-assisted surgery is now well-established in spine surgery and total joint arthroplasty, but its application to arthroscopy has only recently e...
Artificial intelligence (AI) has emerged in orthopedics with the potential to improve diagnostic accuracy, optimize surgical workflows, and support pe...
BACKGROUND: Osteoarthritis (OA) is a degenerative disease associated with aging. Although an increasing body of research suggests a close relationship...
Ternary polycarbonate-poly-(butylene terephthalate)/graphene nanoplatelets (PC-PBT/GNP) nanocomposites were fabricated by melt-compounding. The nanofi...
STUDY DESIGN: Retrospective cohort study from a tertiary academic medical center.
OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) severity and risk of osteoporosis, even after acco...
Large language models (LLMs) offer potential applications across medical specialties; in spine surgery, opportunities exist to enhance patient care, s...
This article analyzes the progress of animal experiments on the analgesic mechanism of electroacupuncture (EA) at the central level for neuropathic pa...
INTRODUCTION: Understanding the mechanisms of drug-induced bone remodeling is critical for optimizing therapeutic interventions and minimizing adverse...
BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in children, with reported prevalence ranging from 12...
OBJECTIVES: Integrating machine learning with Raman spectroscopy (RS) shows strong potential for intraoperative guidance in orthopedic procedures, but...
Achieving detailed neuronal structural information in large-volume brain tissue has been a longstanding challenge in human brain imaging. A key obstac...
This investigation employed a synergistic approach integrating bioinformatics and machine learning methodologies to scrutinize overweight-related oste...
C2 pars interarticularis length (C2PIL) required for pars screws has not been thoroughly studied in subjects with high-riding vertebral artery (HRVA)....
BACKGROUND: Heterotopic ossification is a frequent complication of soft tissue injuries, particularly in tendons. Although ossification in tendon tiss...