Orthopedics

Deep Learning Based Joint PET Image Reconstruction and Motion Estimation.

Respiratory motion is one of the main sources of motion artifacts in positron emission tomography (P...

A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods.

The ideal observer (IO) sets an upper performance limit among all observers and has been advocated f...

FractureNet: A 3D Convolutional Neural Network Based on the Architecture of m-Ary Tree for Fracture Type Identification.

To address the problem of automatic identification of fine-grained fracture types, in this paper, we...

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle change...

Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists.

PURPOSE: To compare the diagnostic performance of a deep learning (DL) model with that of musculoske...

Deep Neural Network Recognition of Rivet Joint Defects in Aircraft Products.

The mathematical statement of the problem of recognizing rivet joint defects in aircraft products is...

Deep Learning-Based Multimodal 3 T MRI for the Diagnosis of Knee Osteoarthritis.

The objective of this study was to investigate the application effect of deep learning model combine...

Underwater acoustic target recognition method based on a joint neural network.

To improve the recognition accuracy of underwater acoustic targets by artificial neural network, thi...

Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies.

The hyoid bone excursion is one of the most important gauges of larynx elevation in swallowing, cont...

Sacroiliac Joint Fusion Using Robotic Navigation: Technical Note and Case Series.

BACKGROUND: Patients undergoing sacroiliac (SI) fusion can oftentimes experience significant improve...

Improved diagnostic performance of plain radiography for cervical ossification of the posterior longitudinal ligament using deep learning.

BACKGROUND: A high false-negative rate has been reported for the diagnosis of ossification of the po...

Does proximal versus distal injury location of the medial ulnar collateral ligament of the elbow differentially impact elbow stability? An ultrasound-guided and robot-assisted biomechanical study.

BACKGROUND: The location (proximal vs. distal) of elbow medial ulnar collateral ligament (MUCL) tear...

Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.

This article presents an effort toward building an artificial intelligence (AI) assisted framework, ...

Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks.

PURPOSE: To standardize the radiography imaging procedure, an image quality control framework using ...

Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning.

Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology ...

Effects of ground robot manipulation on hen floor egg reduction, production performance, stress response, bone quality, and behavior.

Reducing floor eggs in cage-free (CF) housing systems is among primary concerns for egg producers. T...

Robotic Spine Surgery: Past, Present, and Future.

STUDY DESIGN: Systematic review.

Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.

In recent decades, robot-assisted surgery has been proven superior at providing more accurate outcom...

Robot-Assisted Minimally Invasive Sacroiliac Joint Fusion for Sacroiliac Joint Dysfunction: 2-Dimensional Operative Video.

Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph.

BACKGROUND: Deep learning (DL) is an advanced machine learning approach used in different areas such...

Vision Transformer for femur fracture classification.

INTRODUCTION: In recent years, the scientific community focused on developing Computer-Aided Diagnos...