Latest AI and machine learning research in orthopedics for healthcare professionals.
INTRODUCTION: Spinal measurements play an integral role in surgical planning for a variety of spine ...
BACKGROUND: Hip dysplasia is a condition where the acetabulum is too shallow to support the femoral ...
The application of machine learning in the field of motion capture research is growing rapidly. The ...
This study aimed to assess the performance of a deep learning algorithm in helping radiologist achie...
Machine learning (ML) is changing the way health care is practiced and recent applications of these ...
In this study, we investigated the discriminative capacity of knee morphology in automatic detection...
The use of mechanoregulatory schemes based on finite element (FE) analysis for the evaluation of bon...
There is a growing trend of artificial intelligence (AI) applications in veterinary medicine, with t...
BACKGROUND: The purpose of this study was to evaluate the efficacy of an Artificial Intelligence Lar...
Histopathology is the reference standard for pathology diagnosis, and has evolved with the digitizat...
PURPOSE: Bone metastasis is a significant contributor to morbidity and mortality in advanced prostat...
BACKGROUND: The diagnosis of rotator cuff tears (RCTs) using radiographs alone is clinically challen...
The EUOS/SLAS challenge aimed to facilitate the development of reliable algorithms to predict the aq...
BACKGROUND: Robotic spinal surgery may result in better pedicle screw placement accuracy, and reduct...
BACKGROUND: We employed deep learning to automatically detect myocardial bone-seeking uptake as a ma...
In recent years, robot-assisted training has been shown to significantly improve motor function and ...
INTRODUCTION: Both navigation systems and robotics enable greater precision in the implantation of a...
BACKGROUND: This retrospective study aimed to develop a deep learning algorithm for the interpretati...
BACKGROUND AND OBJECTIVES: The pathophysiology of spontaneous vertebral artery dissecting aneurysms ...
Diffuse reflectance spectroscopy (DRS) has been extensively studied in both preclinical and clinical...
PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine...