Latest AI and machine learning research in orthopedics for healthcare professionals.
Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migrat...
A major issue after total knee replacement (TKR) surgery is asymmetric gait kinetics, which increase...
OBJECTIVE: Based on preoperative clinical text data and lumbar magnetic resonance imaging (MRI), we ...
Additive manufacturing (AM) is a powerful approach in healthcare to augment the functionalities of p...
PURPOSE: Patients with recurrent complaints after total knee arthroplasty may suffer from aseptic im...
UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disea...
The study aims to evaluate the global research landscape of facial bone contouring to identify curre...
IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from opt...
Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward...
Pickleball has gained popularity across diverse age groups. This sport has particular balls that req...
Entrectinib, a potent, CNS-active, TRK and ROS1 inhibitor is associated with occurrence of bone frac...
PURPOSE: This study analyzed responses and readability of generative artificial intelligence (AI) mo...
Articular cartilage is a porous, soft tissue present in the synovial joints that distributes the loa...
Background Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in ...
Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a ...
Depression is a serious mental health disorder with a potential hazard for individuals and society c...
PURPOSE: Posterior spinal instrumentation and fusion (PSF) is the gold standard for severe adolescen...
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often stru...
INTRODUCTION: Hip fractures are a major orthopedic problem, especially in the elderly population. Hi...
RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and...
Retinal fundus imaging is crucial for diagnosing and monitoring eye diseases, which are often linked...