Latest AI and machine learning research in orthopedics for healthcare professionals.
This study aimed to clarify how the power-assist function of the hybrid assistive limb (HAL), an exo...
BACKGROUND: Total hip arthroplasty (THA) for fibrous-fused hips is technically demanding. This study...
BACKGRUOUND: Since image-based fracture prediction models using deep learning are lacking, we aimed ...
PURPOSE: The purpose of this study was to assess the efficiency, safety, and accuracy of cannulated ...
An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-consuming ...
PURPOSE: To compare image quality and interobserver agreement in evaluations of neuroforaminal steno...
OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict ...
OBJECTIVE: One of the major difficulties in spinal surgery is the injury of important tissues caused...
OBJECTIVE: This study aimed to conduct a systematic review and meta-analysis to compare the clinical...
Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate t...
The continuous progress of research and clinical trials has offered a wide variety of information co...
To develop and verify an automatic classification method using artificial intelligence deep learning...
Variability is a property of biological systems, and in animals (including humans), behavioral varia...
BACKGROUND: The superiorities in proximal facet joint protection of robot-assisted (RA) pedicle scre...
PURPOSE: To appraise the performances of an AI trained to detect and localize skeletal lesions and c...
This study aimed to evaluate the performance of a deep-learning model to evaluate knee osteoarthriti...
BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a ...
BACKGROUND: Establishing imaging registries for large patient cohorts is challenging because manual ...
PURPOSE: To assess the clinical effectiveness of temporal subtraction computed tomography (TS CT) us...
Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in time. Di...
Background Developing deep learning models for radiology requires large data sets and substantial co...