AIMC Topic: Arthroplasty, Replacement, Knee
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Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Jan 16, 2020
BACKGROUND: Achieving an optimal limb alignment is an important factor affecting the long-term survival of total knee arthroplasty (TKA). This is the first study to look at the limb alignment and orientation of components in TKA using a novel image-f...
A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.
Computer methods and programs in biomedicine
Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Automated detection & classification of knee arthroplasty using deep learning.
The Knee
Dec 26, 2019
BACKGROUND: Preoperative identification of knee arthroplasty is important for planning revision surgery. However, up to 10% of implants are not identified prior to surgery. The purposes of this study were to develop and test the performance of a deep...
Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Dec 12, 2019
PURPOSE: Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to com...
Effect of surgical parameters on the biomechanical behaviour of bicondylar total knee endoprostheses - A robot-assisted test method based on a musculoskeletal model.
Scientific reports
Oct 10, 2019
The complicated interplay of total knee replacement (TKR) positioning and patient-specific soft tissue conditions still causes a considerable number of unsatisfactory outcomes. Therefore, we deployed a robot-assisted test method, in which a six-axis ...
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...
Osteoarthritis, Hip
Humans
Machine Learning
Algorithms
Knee Joint
Outcome Assessment, Health Care
Range of Motion, Articular
Middle Aged
Postoperative Period
Arthroplasty, Replacement, Knee
Pilot Projects
Arthroplasty, Replacement, Hip
Patient Reported Outcome Measures
Prospective Studies
Wearable Electronic Devices
Osteoarthritis, Knee
Monitoring, Ambulatory
Female
Signal Processing, Computer-Assisted
Aged
Male
Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jun 28, 2019
PURPOSE: A blood transfusion after total knee arthroplasty (TKA) is associated with an increase in complication and infection rates. However, no studies have been conducted to predict transfusion after TKA using a machine learning algorithm. The purp...
Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.
The Journal of arthroplasty
Jun 20, 2019
BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition before primary total knee arthroplasty (TKA). The secondary objective ...
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
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