Latest AI and machine learning research in orthopedics for healthcare professionals.
Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward precision and personalization through intelligent applications in preoperative planning, intraoperative assistance, and postoperative rehabilitation/monitoring. Breakthroughs in deep learning, robotics, and multimodal data fusion have enabled AI to demonstrate significant advantages. Nonetheless, c...
Pickleball has gained popularity across diverse age groups. This sport has particular balls that require different hitting styles, like hitting dinks. This study focuses on introducing pickleball players' kinematic analysis through a MediaPipe-based deep learning (DL) tool and analyzes the dominant leg's femur angle, knee angle, and wrist motion of pickleball players during the hitting dink shots,...
Articular cartilage is a porous, soft tissue present in the synovial joints that distributes the load and lubricate the joint for smooth body movement...
PURPOSE: This study analyzed responses and readability of generative artificial intelligence (AI) models to questions and recommendations from the 201...
Entrectinib, a potent, CNS-active, TRK and ROS1 inhibitor is associated with occurrence of bone fractures, particularly in pediatric patients. We emba...
Background Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in the joints. Arthroplasty is commonly performed to ...
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often struggle to achieve functional recovery, which could b...
PURPOSE: Posterior spinal instrumentation and fusion (PSF) is the gold standard for severe adolescent idiopathic scoliosis (AIS), yet instrumentation ...
Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a major contributor to mortality among the elderly. ...
INTRODUCTION: Hip fractures are a major orthopedic problem, especially in the elderly population. Hip fractures are usually diagnosed by clinical eval...
STUDY DESIGN: This study employed a retrospective data analysis approach combined with model development and validation.
Medial tibiofemoral joint reaction force is a clinically relevant variable for knee osteoarthritis progression and can be estimated using complex musc...
Retinal fundus imaging is crucial for diagnosing and monitoring eye diseases, which are often linked to systemic health conditions such as diabetes an...
RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and automated habitat analysis in predicting bone met...
Osteoporosis, a prevalent skeletal disorder, necessitates accurate and accessible diagnostic tools for effective disease management and fracture preve...
STUDY DESIGN: A retrospective analysis.
OBJECTIVE: Neurosurgical evaluation is required in the setting of spinal metastases at high risk for leading to a vertebral body fracture. Both irradi...
In silico analysis is key to understanding bone structure-function relationships in orthopedics and evolutionary biology, but its potential is limited...
Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult lumbar disc herniation (LDH), which has a trend o...
BACKGROUND: Dystrophin-deficient zebrafish larvae are a small, genetically tractable vertebrate model of Duchenne muscular dystrophy that is well suit...