Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: Vertebral recompression after percutaneous kyphoplasty (PKP) for osteoporotic vertebral ...
The timely detection of abnormal health conditions is crucial in achieving successful medical interv...
OBJECTIVE: To investigate the longitudinal association between diabetes and changes in vertebral bon...
Generative artificial intelligence (gAI) is becoming increasingly prevalent in our daily lives. Stud...
Robotic surgery enhances precision in orthopedic and trauma procedures like joint replacements and b...
ObjectiveDetecting and accurately diagnosing rib fractures in chest radiographs is a challenging and...
OBJECTIVE: To develop and evaluate machine learning (ML) models for predicting length of stay (LOS) ...
PURPOSE: Intervertebral disc degeneration (IDD) is a major contributor to chronic low back pain. Mag...
PURPOSE: Forearm fractures constitute a significant proportion of emergency department presentations...
BACKGROUND: Single-photon emission computed tomography (SPECT) plays a crucial role in detecting bon...
Sleep staging is a crucial method for the evaluation of sleep quality and the diagnosis of sleep dis...
BACKGROUND: Osteoarthritis (OA) pathogenesis involves age-related immune dysregulation, yet non-inva...
OBJECTIVES: Facet joint osteoarthritis (FJOA) is a degenerative spinal joint condition causing low b...
PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...
PURPOSE: Convolutional Neural Networks (CNNs) have shown promise in fracture detection, but their ab...
This study aimed to identify key factors associated with different progression patterns of early ost...
Early-exit neural networks (EENNs) endow a standard deep neural network (DNN) with early-exit classi...
PURPOSE: This study aimed to evaluate the scientific accuracy, content validity, and clarity of Chat...
BACKGROUND: After total hip arthroplasty (THA), standing and walking balance are greatly affected in...
OBJECTIVES: To evaluate image quality and diagnostic interchangeability of synth short-tau inversion...
Single-cell spatial transcriptomics can provide subcellular resolution for a deep understanding of m...