Latest AI and machine learning research in orthopedics for healthcare professionals.
With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankl...
The utilization of unlabeled electrocardiogram (ECG) data is always a critical topic in artificial i...
BACKGROUND: In the emergency room, clinicians spend a lot of time and are exposed to mental stress. ...
The present study used triggered electromyographic (EMG) testing as a tool to determine the safety o...
OBJECTIVES: Automatic bone lesions detection and classifications present a critical challenge and ar...
BACKGROUND: Robot-assisted pelvic fracture closed reduction (RPFCR) positively contributes to patien...
Network representation learning or embedding aims to project the network into a low-dimensional spac...
Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic sys...
PURPOSE: This paper aims to provide an overview of the possibility regarding the artificial intellig...
In this retrospective, analytical study, we developed a deep learning-based diagnostic model that ca...
This study aimed to assess the preliminary outcomes of kinematically aligned robot-assisted total kn...
Deep learning has a profound impact on daily life. As Orthopedics makes use of this rapid escalation...
PURPOSE: The purpose of this study is to report on the use of Robotic-assisted total joint arthropla...
PURPOSE: Both robots and navigation are effective strategies for optimizing screw placement, as comp...
Osteoporosis contributes significantly to health and economic burdens worldwide. However, the develo...
The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional ...
Radiologists today play a central role in making diagnostic decisions and labeling images for traini...
Soft robots are envisioned as the next generation of safe biomedical devices in minimally invasive p...
The interest of researchers, clinicians and radiologists, in artificial intelligence (AI) continues ...
Convolutional neural networks (CNNs) applied to magnetic resonance imaging (MRI) have demonstrated t...
Contrastive learning has received increasing attention in the field of skeleton-based action represe...