Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVES: To develop a deep-learning (DL) model for identifying fresh VCFs from digital radiograph...
Continuum robots with redundant degrees of freedom and postactuated devices are suitable for applica...
Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pat...
Computed tomography (CT) is most commonly used to produce three-dimensional (3D) models for evaluati...
BACKGROUND/OBJECTIVE: Vanishing bone disease (VBD) is a rare entity, characterized by massive osteol...
Tungsten has recently emerged as a potential toxicant and is known to heterogeneously deposit in bon...
Telesurgical robot control is a significant example of an uncertain nonlinear system, as it involves...
The aim of this study is to explore the clinical effect of deep learning-based MRI-assisted arthrosc...
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and ev...
Shoulder MRI using standard multiplanar sequences requires long scan times. Accelerated sequences h...
3D image-based finite element (FE) and bone volume fraction (BV/TV)/fabric tensor modeling technique...
In this paper, a novel continuum robotic dolphin termed 'ConRoDolI' is proposed and developed. The b...
PURPOSE: A self-defined convolutional neural network is developed to automatically classify whole-bo...
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and i...
Rodent models are commonly used to understand the underlying mechanisms of spinal cord injury (SCI)....
The evaluation of bone marrow morphology by experienced hematopathologists is essential in the diagn...
The analog methods used in the clinical assessment of the patient's chronological age are subjective...
Convolutional neural networks are capable of extracting powerful representations for face recognitio...
Machine learning is a rapidly evolving field that offers physicians an innovative and comprehensive ...
Background An artificial intelligence model that assesses primary bone tumors on radiographs may ass...
BACKGROUND: We aimed to construct an artificial intelligence (AI) guided identification of suspiciou...