Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND AND PURPOSE: Three-dimensional (3D) imaging of the spine, augmented with AI-enabled image...
To assess pathological gaits quantitatively, three-dimensional coordinates estimated with a deep lea...
Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumber...
Computer-assisted procedures are becoming increasingly more relevant in orthopedics and trauma surge...
A novel and fun exercise robot (LOCOBOT) was developed to improve balance ability. This system can c...
IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radio...
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with ro...
Various deep learning (DL) models are widely applied in medical image analysis, and their performanc...
The paper proposes a new class of nonlinear operators and a dual learning paradigm where optimizatio...
BACKGROUND: The applicability and accuracy of artificial intelligence (AI)-assisted bone age assessm...
BACKGROUND: Anterior closing wedge osteotomies (ACWO) are performed in revision anterior cruciate li...
PURPOSE: This study is to compare the precision and safety of the orthopaedic robot with conventiona...
PURPOSE: To perform patellofemoral joint (PFJ) geometric measurements on knee magnetic resonance ima...
PURPOSE: To compare the accuracy of pedicle screw placement in adolescent idiopathic scoliosis (AIS)...
BACKGROUND: Determining the origin of bone metastatic cancer (OBMC) is of great significance to clin...
BACKGROUND: Magnetic resonance fingerprinting (MRF) is a method to speed up acquisition of quantitat...
Flexible sensing devices (FSDs) fabricated using conductive hydrogels have attracted researchers' ex...
The lamina cribrosa (LC) is a collagenous tissue located in the optic nerve head, and its dissection...
The length of stay (LOS) in hospital is one of the main parameters for evaluating the management of ...
Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment...