Latest AI and machine learning research in orthopedics for healthcare professionals.
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in ea...
Eddy current brakes have been recently used for functional resistance training in individuals with n...
OBJECTIVE: to establish whether torque pulses applied by an exoskeleton to the hip and knee joint mo...
INTRODUCTION: Accurate prediction of knee biomechanics during total knee replacement (TKR) surgery i...
: Measuring joint range of motion (ROM) is essential for diagnosing and treating musculoskeletal dis...
Osteoporotic femoral neck fractures (OFNFs) pose a significant orthopedic challenge in the elderly p...
BACKGROUND: The choice between cemented and cementless fixation in primary elective total hip arthro...
PURPOSE: VSBONE BSI (VSBONE), an automated bone scan index (BSI) measurement system was updated from...
BACKGROUND AND OBJECTIVES: Accurate prediction of progression in knee osteoarthritis (KOA) is signif...
BACKGROUND: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges f...
This study aimed to develop an artificial intelligence (AI) model for the screening of degenerative ...
OBJECTIVES: To investigate the performance of a deep learning (DL) model for segmenting cone-beam co...
PURPOSE: The study aimed to develop a deep learning model for rapid, automated measurement of full-s...
Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradua...
Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as car...
Accurate prediction of brain age is crucial for identifying deviations between typical individual br...
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly popu...
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) pati...
Scapular morphological attributes show promise as prognostic indicators of retear following rotator ...
BACKGROUND: Patients are increasingly turning to the internet, and recently artificial intelligence ...
OBJECTIVE: This study aims to develop a fully automated, computed tomography (CT)-based deep learnin...