Orthopedics

Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification.

Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estim...

Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.

UNLABELLED: DeepDXA is a deep learning model designed to infer bone mineral density data from plain ...

Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning.

Human activity recognition has been extensively used for the classification of occupational tasks. E...

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment.

BACKGROUND AND OBJECTIVES: Bone age assessment (BAA) is widely used in determination of discrepancy ...

Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery.

In order to discuss the clinical characteristics of patients with scapular fracture, deep learning m...

Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization.

In this study, an online transfer TSK fuzzy classifier O-T-TSK-FC is proposed for recognizing epilep...

Novel robotic technology for the rapid intraoperative manufacture of patient-specific instrumentation allowing for improved glenoid component accuracy in shoulder arthroplasty: a cadaveric study.

BACKGROUND: Accurate prosthesis placement in arthroplasty is an important factor in the long-term su...

The preoperative machine learning algorithm for extremity metastatic disease can predict 90-day and 1-year survival: An external validation study.

BACKGROUND: The prediction of survival is valuable to optimize treatment of metastatic long-bone dis...

Transitioning a Practice to Robotic Total Knee Arthroplasty Is Correlated with Favorable Short-Term Clinical Outcomes-A Single Surgeon Experience.

A Joint Model Provisioning and Request Dispatch Solution for Low-Latency Inference Services on Edge.

With the advancement of machine learning, a growing number of mobile users rely on machine learning ...

Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population.

BACKGROUND: Prevalence for knee osteoarthritis is rising in both Sweden and globally due to increase...

CT Scan versus Saline Load Test for Detection of Traumatic Wrist Arthrotomy.

 Traumatic arthrotomy of the wrist is most commonly detected using the saline load test (SLT); howe...

Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment.

OBJECTIVE: To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and modifie...

Machine learning techniques demonstrating individual movement patterns of the vertebral column: the fingerprint of spinal motion.

Surface topography systems enable the capture of spinal dynamic movement; however, it is unclear whe...

Editorial Comment: Accelerated Joint MRI With Deep Learning-Based Reconstruction-A Promising Approach to Increasing Imaging Speed Without Compromising Image Quality.

Assessing Bone Age: A Paradigm for the Next Generation of Artificial Intelligence in Radiology.

Comparison of two different volumes of 0.5%, ropivacaine used in ultrasound-guided adductor canal block after knee arthroplasty: A randomized, blinded, controlled noninferiority trial.

BACKGROUND AND AIMS: The aim of this study was to establish noninferiority of 10 mL of 0.5% ropivaca...

Feature Selection and Validation of a Machine Learning-Based Lower Limb Risk Assessment Tool: A Feasibility Study.

Early and self-identification of locomotive degradation facilitates us with awareness and motivation...

An Automatic Knee Osteoarthritis Diagnosis Method Based on Deep Learning: Data from the Osteoarthritis Initiative.

Osteoarthritis (OA) is the most common form of arthritis. According to the evidence presented on bot...

Multi-Phase Joint-Angle Trajectory Generation Inspired by Dog Motion for Control of Quadruped Robot.

Quadruped robots are receiving great attention as a new means of transportation for various purposes...

Leaf Recognition Based on Joint Learning Multiloss of Multimodel Convolutional Neural Networks: A Testing for Vietnamese Herb.

A new modification of multi-CNN ensemble training is investigated by combining multiloss functions f...