Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

5,182 articles
Stay Ahead - Weekly Orthopedics research updates
Subscribe
Browse Specialties
Subcategories: Sports Medicine
Showing 505-525 of 5,182 articles
Posttraumatic Arthritis After Anterior Cruciate Ligament Injury: Machine Learning Comparison Between Surgery and Nonoperative Management.

BACKGROUND: Nonoperative and operative management techniques after anterior cruciate ligament (ACL) ...

A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.

Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution...

Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the ...

Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

BACKGROUND: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. Ho...

SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.

OBJECTIVE: Scoliosis, a 3-D spinal deformity, requires early detection and intervention. Ultrasound ...

Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.

Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical...

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

BACKGROUND: Osteoporosis is a complex condition that drives research into its causes, diagnosis, tre...

A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.

BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to q...

Metal Suppression Magnetic Resonance Imaging Techniques in Orthopaedic and Spine Surgery.

Implantation of metallic instrumentation is the mainstay of a variety of orthopaedic and spine surge...

Bone-wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes.

BACKGROUND: Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic...

PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bon...

Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting cl...

AI classification of knee prostheses from plain radiographs and real-world applications.

PURPOSE: Total knee arthroplasty (TKA) is considered the gold standard treatment for end-stage knee ...

Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchite...

Optimization of primary screw stability in Trabecular bone using neural network-based models.

BACKGROUND AND OBJECTIVE: Screw implant stability in bone is crucial to the success of many orthopae...

Direct-to-Treatment Adaptive Radiation Therapy: Live Planning of Spine Metastases Using Novel Cone Beam Computed Tomography.

PURPOSE: Cone beam computed tomography (CBCT)-based online adaptive radiation therapy is carried out...

Artificial intelligence in the interpretation of upper extremity trauma radiographs: a systematic review and meta-analysis.

BACKGROUND: Upper extremity fractures represent a significant reason for emergency room visits; howe...

Browse Specialties