Latest AI and machine learning research in orthopedics for healthcare professionals.
PURPOSE: To evaluate the predictive ability of AI HIP in determining the size and position of prosth...
PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a ...
Metal-insulator-metal plasmonic metasurfaces exhibit intricate spectral responses arising from the i...
Graphene oxide (GO) materials have complex chemical structures that are linked to their macroscopic ...
The environment of underwater salvage is very special, and many factors such as real-time water cond...
In recent years, hip arthroscopy has made great progress and has been extended to the treatment of i...
Enhancing the performance and longevity of cementitious nanocomposites requires a comprehensive unde...
Cancer is a deadly disease that occurs due to the uncontrolled growth of abnormal cells. Bone cancer...
Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacki...
OBJECTIVE: The study aimed to develop a single-stage deep learning (DL) screening system for automat...
OBJECTIVE: This study compared two deep learning architectures-generative adversarial networks (GANs...
OBJECTIVE: Accurate vertebral segmentation is an important step in imaging analysis pipelines for di...
OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surge...
OBJECTIVE: Robotics and artificial intelligence (AI) are being increasingly integrated in spine surg...
MR neurography sequences provide excellent nerve-to-background soft tissue contrast, whereas a zero ...
Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet t...
Considering the high incidence of osteoarthritis (OA), especially of the knee and hip, this study ex...
In the paper we presented the review of mathematical and numerical models of osteoarthritis (OA). As...
OBJECTIVES: Optimize deep learning-based vertebrae segmentation in longitudinal CT scans of multiple...
BACKGROUND: It is becoming increasingly important to evaluate the effectiveness of large language mo...
OBJECTIVES: Achieving efficient analysis of multiple pathological indicators has great significance ...