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Osteoarthritis, Knee

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Predicting the onset of end-stage knee osteoarthritis over two- and five-years using machine learning.

Seminars in arthritis and rheumatism Mar 16, 2024
OBJECTIVE: Identifying participants who will progress to advanced stage in knee osteoarthritis (KOA) trials remains a significant challenge. Current tools, relying on total knee replacements (TKR), fall short in reliability due to the extraneous fact...
Humans Machine Learning Female Middle Aged Disease Progression Reproducibility of Results Aged Male Severity of Illness Index Osteoarthritis, Knee
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Development of a machine learning model for identifying the optimal situation favoring double-level osteotomy over single-level high tibial osteotomy.

The Knee Feb 27, 2024
BACKGROUND: This study aimed to develop a machine learning (ML) model to identify the optimal situation wherein double-level osteotomy (DLO) is favored for severe varus knees by analyzing unfavorable outcomes. This study hypothesized that there are t...
Male Middle Aged Knee Joint Osteoarthritis, Knee Osteotomy Humans Tibia Machine Learning Retrospective Studies Female
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Prediction of postoperative gait speed change after bilateral primary total knee arthroplasty in female patients using a machine learning algorithm.

Orthopaedics & traumatology, surgery & research : OTSR Feb 19, 2024
BACKGROUND: An important aim of total knee arthroplasty is to achieve functional recovery, which includes post-operative increase in walking speed. Therefore, predicting whether a patient will walk faster or slower after surgery is important in TKA, ...
Cohort Studies Recovery of Function Gait Arthroplasty, Replacement, Knee Osteoarthritis, Knee Walking Speed Female Aged Middle Aged Machine Learning Algorithms Retrospective Studies Humans
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OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment.

Seminars in arthritis and rheumatism Feb 17, 2024
OBJECTIVE: To begin evaluating deep learning (DL)-automated quantification of knee joint effusion-synovitis via the OMERACT filter.
Reproducibility of Results Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Algorithms Female Knee Joint Osteoarthritis, Knee
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Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: A pilot study.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 11, 2024
Elderly patients often have more than one disease that affects walking behavior. An objective tool to identify which disease is the main cause of functional limitations may aid clinical decision making. Therefore, we investigated whether gait pattern...
Aged Aged, 80 and over Male Humans Machine Learning Female Support Vector Machine Gait Gait Analysis Osteoarthritis, Knee Middle Aged Case-Control Studies Pilot Projects Osteoarthritis, Hip
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Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 7, 2024
In this study, we investigated the discriminative capacity of knee morphology in automatic detection of osteophytes defined by the Osteoarthritis Research Society International atlas, using X-ray and magnetic resonance imaging (MRI) data. For the X-r...
Femur Osteoarthritis, Knee Osteophyte Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Radiography Knee Joint Tibia Aged Humans Male Female Middle Aged
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A perspective on the evolution of semi-quantitative MRI assessment of osteoarthritis: Past, present and future.

Osteoarthritis and cartilage Jan 10, 2024
OBJECTIVE: This perspective describes the evolution of semi-quantitative (SQ) magnetic resonance imaging (MRI) in characterizing structural tissue pathologies in osteoarthritis (OA) imaging research over the last 30 years.
Magnetic Resonance Imaging Knee Joint Humans Osteoarthritis, Knee Artificial Intelligence Reproducibility of Results Severity of Illness Index
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Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.

Scientific reports Dec 21, 2023
The Kellgren-Lawrence (KL) grading system is a scoring system for classifying the severity of knee osteoarthritis using X-ray images, and it is the standard X-ray-based grading system for diagnosing knee osteoarthritis. However, KL grading depends on...
Osteoarthritis, Knee Humans X-Rays Deep Learning Knee Knee Joint
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Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression.

Osteoarthritis and cartilage Dec 17, 2023
OBJECTIVE: To develop and validate a deep learning (DL) model for predicting osteoarthritis (OA) progression based on bilateral knee joint views.
Osteoarthritis, Knee Humans Disease Progression Retrospective Studies Deep Learning Reproducibility of Results Knee Joint
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Deep Learning Augmented Osteoarthritis Grading Standardization.

Tissue engineering. Part A Dec 15, 2023
Manual grading of cartilage histology images for investigating the extent and severity of osteoarthritis (OA) involves critical examination of the cell characteristics, which makes this task tiresome, tedious, and error prone. This results in wide in...
Male Middle Aged Deep Learning Humans Osteoarthritis Female Reference Standards Osteoarthritis, Knee
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