AIMC Topic: Knee Joint

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Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: The variation in articular cartilage thickness (ACT) in healthy knees is difficult to quantify and therefore poorly documented. Our aims are to (1) define how machine learning (ML) algorithms can automate the segmentation and measurement ...
Algorithms Female Aged Male Humans Machine Learning Osteoarthritis, Knee Magnetic Resonance Spectroscopy Cartilage, Articular Magnetic Resonance Imaging Knee Joint Multivariate Analysis Femur Middle Aged Disease Progression Image Processing, Computer-Assisted Body Mass Index
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Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: Tracking patient-generated health data (PGHD) following total joint arthroplasty (TJA) may enable data-driven early intervention to improve clinical results. We aim to demonstrate the feasibility of combining machine learning (ML) with PG...
Wearable Electronic Devices Signal Processing, Computer-Assisted Knee Joint Outcome Assessment, Health Care Humans Machine Learning Postoperative Period Aged Range of Motion, Articular Algorithms Arthroplasty, Replacement, Hip Male Arthroplasty, Replacement, Knee Osteoarthritis, Knee Prospective Studies Middle Aged Patient Reported Outcome Measures Osteoarthritis, Hip Female Pilot Projects Monitoring, Ambulatory
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Letter to the Editor on "Robot-Assisted Total Knee Arthroplasty Does Not Improve Long-Term Clinical and Radiologic Outcomes".

The Journal of arthroplasty Jun 17, 2019
Osteoarthritis, Knee Humans Robotics Knee Joint Arthroplasty, Replacement, Knee
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Response to Letter to the Editor on "Robot-Assisted Total Knee Arthroplasty Does Not Improve Long-Term Clinical and Radiologic Outcomes".

The Journal of arthroplasty Jun 15, 2019
Humans Robotics Knee Joint Arthroplasty, Replacement, Knee Osteoarthritis, Knee
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Intelligent prediction of kinetic parameters during cutting manoeuvres.

Medical & biological engineering & computing Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Models, Biological Athletes Analysis of Variance Hip Joint Ankle Joint Movement Neural Networks, Computer Humans Reproducibility of Results Biomechanical Phenomena Knee Joint
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Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go Tests.

The Journal of arthroplasty Jun 5, 2019
BACKGROUND: Wearable sensors permit efficient data collection and unobtrusive systems can be used for instrumenting knee patients for objective assessment. Machine learning can be leveraged to parse the abundant information these systems provide and ...
Female Arthroplasty, Replacement, Knee Aged Osteoarthritis, Knee Aged, 80 and over Humans Time and Motion Studies Male Machine Learning Middle Aged Algorithms Wearable Electronic Devices Postural Balance Knee Joint
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Comparison between navigated reported position and postoperative computed tomography to evaluate accuracy in a robotic navigation system in total knee arthroplasty.

The Knee Jun 4, 2019
BACKGROUND: Computer navigation increases reproducibility compared to non-navigated total knee arthroplasty (TKA). Robotics navigation is a branch of computer navigation technology that might further improve accuracy of implant placement. The aim of ...
Surgery, Computer-Assisted Knee Joint Arthroplasty, Replacement, Knee Postoperative Period Retrospective Studies Tomography, X-Ray Computed Imaging, Three-Dimensional Robotics Knee Prosthesis Preoperative Care Humans Software
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Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine.

Fa yi xue za zhi Apr 25, 2019
Objective To establish a regression algorithm model that applies to bone age estimation of Xinjiang Uygur adolescents with machine learning methods such as histogram of oriented gradient （HOG）, local binary patterns （LBP）, support vector machine （SVM...
Knee Joint Asian People Age Determination by Skeleton Adolescent Humans Image Processing, Computer-Assisted Machine Learning Support Vector Machine Algorithms Young Adult Principal Component Analysis Female Adult Male China
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MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop and evaluate a novel deep learning-based image reconstruction approach called MANTIS (Model-Augmented Neural neTwork with Incoherent k-space Sampling) for efficient MR parameter mapping.
Female Aged Male Middle Aged Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Knee Joint
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Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy.

Journal of biomechanics Mar 7, 2019
Predicting subject-specific responses to exoskeleton assistance may aid in maximizing functional gait outcomes, such as achieving full knee-extension at foot contact in individuals with crouch gait from cerebral palsy (CP). The purpose of this study ...
Knee Joint Hamstring Muscles Adult Cerebral Palsy Humans Gait Foot Biomechanical Phenomena Computer Simulation Models, Biological Muscle Spasticity Male Female Torque Reflex, Stretch Robotics
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