Orthopedics

Extracting Chinese events with a joint label space model.

The task of event extraction consists of three subtasks namely entity recognition, trigger identific...

Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise.

BACKGROUND: Machine learning (ML) is a type of artificial intelligence (AI) and has been utilized in...

Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis.

Bone marrow transplant (BMT) is an effective surgical treatment for bone marrow-related disorders. H...

Detecting upper extremity native joint dislocations using deep learning: A multicenter study.

OBJECTIVE: Joint dislocations are orthopedic emergencies that require prompt intervention. Automatic...

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in ...

Identifying Trends and Quantifying Growth for Technological Innovation in Knee Arthroplasty: An Analysis of a Patent Database (1990 to 2020).

Technological innovation is the key for surgical progress in knee arthroplasty and improvement in pa...

Deep Learning Dramatically Reduces the Work Associated with Image Cataloguing and Analysis: Commentary on an article by Pouria Rouzrokh, MD, MPH, MHPE, et al.: "Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry. A Stepwise Approach".

Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer.

BACKGROUND: This study aimed to develop an artificial intelligence predictive model for predicting t...

Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy.

Obtaining frozen sections of bone tissue for intraoperative examination is challenging. To identify ...

Feasibility study of deep-learning-based bone suppression incorporated with single-energy material decomposition technique in chest X-rays.

OBJECTIVE: To improve the detection of lung abnormalities in chest X-rays by accurately suppressing ...

Modeling, Simulation and Implementation of All Terrain Adaptive Five DOF Robot.

The ability of an off-road robot to traverse obstacles determines whether the robot can complete com...

Artificial Intelligence in Spinal Imaging: Current Status and Future Directions.

Spinal maladies are among the most common causes of pain and disability worldwide. Imaging represent...

Joint Detection and Matching of Feature Points in Multimodal Images.

In this work, we propose a novel Convolutional Neural Network (CNN) architecture for the joint detec...

Two-dimensional C-arm robotic navigation system (i-Navi) in spine surgery: a pilot study.

PURPOSE: Pedicle screws placement is very common procedure in spinal surgery. Robotic assisted surge...

Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets.

Deep learning biomechanical models perform optimally when trained with large datasets, however these...

Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically-a retrospective study.

BACKGROUND: The purpose of this investigation was to develop a computer-assisted detection system ba...

Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population.

PURPOSE: Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to cons...

Deep learning approaches based improved light weight U-Net with attention module for optic disc segmentation.

Glaucoma is a major cause of blindness worldwide, and its early detection is essential for the timel...

Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.

PURPOSE: The purpose of this study was to assess the impact of the new artificial intelligence deep-...

Assessment of deep learning pose estimates for sports collision tracking.

Injury assessment during sporting collisions requires estimation of the associated kinematics. While...

Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.

BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and ca...