Latest AI and machine learning research in orthopedics for healthcare professionals.
Locomotion is a key aspect associated with ecologically relevant tasks for many organisms, therefore...
Background It is important to diagnose sclerotic bone lesions in order to determine treatment strate...
In the last 5 years, artificial intelligence (AI) algorithms have made rapid advances for diagnosis ...
Deep learning methods for language recognition have achieved promising performance. However, most of...
Accurate waste classification is key to successful waste management. However, most current studies h...
PURPOSE: The main purpose of this work was to develop an efficient approach for segmentation of stru...
Ultrasonic guided waves (UGWs) propagating in the long cortical bone can be measured via the axial t...
Qualitative analysis of fundus photographs enables straightforward pattern recognition of advanced p...
UNLABELLED: A fully-automated deep learning algorithm matched performance of radiologists in assessm...
The goal of this study was to develop a deep learning-based algorithm to predict temporomandibular j...
A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...
In the present study, a sensitive LC-MS/MS method was developed and validated to measure pioglitazon...
In this article, we study a tensor-based multitask learning (MTL) method for classification. Taking ...
Social learning represents a high-level complex process to acquire information about the environment...
Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is...
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiogra...
BACKGROUND: Osteoporosis (OP) is increasingly prevalent with the aging of the world population. It i...
BACKGROUND CONTEXT: Accurate diagnosis of osteoporotic vertebral fracture (OVF) is important for imp...
OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to pr...
Resolution plays an essential role in oral imaging for periodontal disease assessment. Nevertheless,...
OBJECTIVES: To build and validate random forest (RF) models for the classification of bone tumors ba...