Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: The emergence of artificial intelligence (AI) has allowed users to have access to large ...
OBJECTIVE: Osteoporosis is a severe bone disease with a complex pathogenesis involving various immun...
Pneumonia caused by novel coronavirus is an acute respiratory infectious disease. Its rapid spread i...
BACKGROUND: Early and accurate diagnosis is critical to preserve function and reduce healthcare cost...
OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an...
BACKGROUND: Persistent opioid use is a common occurrence after surgery and prolonged exposure to opi...
High-energy impacts, like vehicle crashes or falls, can lead to pelvic ring injuries. Rapid diagnosi...
BACKGROUND: Machine learning (ML) is extensively employed for forecasting the outcome of various ill...
Deep reinforcement learning (DRL) has demonstrated impressive performance in medical image segmentat...
STUDY DESIGN: Retrospective cohort study.
INTRODUCTION: Total knee arthroplasty (TKA) carries a significant hemorrhagic risk, with a non-negli...
BACKGROUND: Deep learning is the primary method for conducting automated analysis of SPECT bone scin...
Trajectory inference methods are essential for analyzing the developmental paths of cells in single-...
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative ...
Primary malignant bone tumors, such as osteosarcoma, significantly affect the pediatric and young ad...
PURPOSE: Ultrashort echo time (UTE) MRI can be a radiation-free alternative to CT for craniofacial i...
PURPOSE: To evaluate the diagnostic accuracy of machine learning (ML) in detecting vertebral fractur...
INTRODUCTION: Machine learning (ML) models may offer a novel solution to reducing postoperative comp...
PURPOSE: This study aimed to develop machine learning methods to estimate bone mineral density and d...
Surface electromyography (sEMG) offers a novel method in human-machine interactions (HMIs) since it ...
STUDY DESIGN: This is a retrospective cohort study utilizing machine learning to predict postoperati...