Latest AI and machine learning research in orthopedics for healthcare professionals.
. In MR-only clinical workflow, replacing CT with MR image is of advantage for workflow efficiency a...
This paper proposes an ankle rehabilitation robot to assist hemiplegic patients with movement traini...
Graph convolutional network has been extensively employed in semi-supervised classification tasks. A...
PURPOSE: The purpose of this study was to systematically review the available level I evidence regar...
Evidence-based medicine, the practice in which healthcare professionals refer to the best available ...
The aim of this study was to assess the feasibility of complex unicortical calvarial harvesting by u...
During clinical evaluation of patients and planning orthopedic treatments, the periodic assessment o...
UNLABELLED: This study utilized deep learning to classify osteoporosis and predict bone density usin...
Quadruped robots have frequently appeared in various situations, including wilderness rescue, planet...
The presence or absence of spontaneous retinal venous pulsations (SVP) provides clinically significa...
In this study, we present a deep learning model for fracture classification on shoulder radiographs ...
Reconstructing facial deformities is often challenging due to the complex 3-dimensional (3D) anatomy...
Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percuta...
Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET) and low-dose com...
The twenty-first century has proven that data are the new gold. Artificial intelligence (AI) driven ...
BACKGROUND: This study introduces THA-Net, a deep learning inpainting algorithm for simulating posto...
Total joint arthroplasty is becoming one of the most common surgeries within the United States, crea...
OBJECTIVES: This study aimed to detect single or multiple fractures in the ulna or radius using deep...
Bone drilling is a common procedure in orthopedic surgery and is frequently attempted using robot-as...
Electronic health records have facilitated the extraction and analysis of a vast amount of data with...
PURPOSE: To develop a deep learning model to accurately detect anterior cruciate ligament (ACL) rupt...