Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine. However, the data available for orthopedic expert reports is significantly less extensive than that or general clinical documentation. RESEARCH QUESTION: What evidence exists by June 2026 for the use of AI in the preparation of clinical and medico-...
The Piezo1 channel is a mechanosensitive, non-selective cation channel that converts mechanical forces into electrochemical signals, playing pivotal roles in vertebrate physiology. Structurally, Piezo1 features a distinctive trimeric propeller structure that undergoes conformational changes in response to membrane tension, enabling mechanogating. Accordingly, Piezo1 is involved in a broad spectrum...
OBJECTIVES: Osteoporosis and fragility fractures are clinically important complications of primary Sjögren's syndrome (pSS) that may accelerate functi...
OBJECTIVES: To disentangle the molecular heterogeneity of knee osteoarthritis (OA) through the classification and characterization of transcriptomic c...
RATIONALE AND OBJECTIVES: Hospital-radiology joint ventures (JVs) are forming at an accelerating pace as health systems seek to recapture outpatient i...
BACKGROUND: Percutaneous transforaminal endoscopic discectomy (PTED) is a common treatment for lumbar disc herniation (LDH), but postoperative recover...
PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and liver tumors. Precis...
Intervertebral disc degeneration (IVDD) is a major contributor to low back pain, but the immune-metabolic events that sustain disc inflammation remain...
PURPOSE: Body composition parameters offer objective, imaging-derived prognostic biomarkers, valuable in the context of oncological diseases. This stu...
Early identification of patients at risk of incident vertebral fracture remains challenging because routine clinical risk assessment does not fully ca...
OBJECTIVE: For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human inter...
INTRODUCTION: Intracranial aneurysms (IA) and osteoporosis (OP) are both common conditions among the elderly population. Observational studies suggest...
BACKGROUND AND OBJECTIVES: Accurately identifying candidates likely to benefit from surgery and addressing modifiable preoperative risk factors are ce...
BACKGROUND: Computer vision in surgery remains limited by the complexity of anatomical environments and the scarcity of annotated datasets, particular...
RATIONALE AND OBJECTIVES: To develop and internally validate interpretable prediction models using pre-fracture CT-derived Hounsfield unit (HU) values...
The inverse design of resilient infrastructure materials is hindered by the combinatorial complexity inherent in optimizing stochastic, heterogeneous ...
Systematic reviews and meta-analyses remain time-consuming and labor-intensive. We developed and validated a locally executed agentic artificial intel...
INTRODUCTION: Patients with skeletal Class III malocclusion often have thin anterior alveolar bone and an increased periodontal risk. This study evalu...
PURPOSE: To evaluate whether large language models (LLMs) can provide accurate, complete, and audience-adapted answers to common spine-surgery-related...
PURPOSE: Adult degenerative scoliosis arises after skeletal maturity in an initially normal spine, primarily driven by age-related degeneration. The C...