AI Medical Compendium Journal:
Osteoarthritis and cartilage

Showing 21 to 24 of 24 articles

Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.

Osteoarthritis and cartilage Feb 28, 2019
OBJECTIVE: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10 years period.
Machine Learning Prospective Studies Humans Radiography Cohort Studies Netherlands ROC Curve Acetabulum Middle Aged Image Processing, Computer-Assisted Area Under Curve Female Incidence Body Mass Index Osteoarthritis, Hip Male Arthroplasty, Replacement, Hip Fractals Femur Osteophyte
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Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

Osteoarthritis and cartilage Mar 9, 2018
OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthritis (OA) estimated thereof.
Osteoarthritis, Knee Cartilage, Articular Magnetic Resonance Imaging Predictive Value of Tests Menisci, Tibial Middle Aged Disease Progression Time Factors Follow-Up Studies Female Male Humans Neural Networks, Computer
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A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women.

Osteoarthritis and cartilage Sep 9, 2017
OBJECTIVE: Knee osteoarthritis (OA) is among the higher contributors to global disability. Despite its high prevalence, currently, there is no cure for this disease. Furthermore, the available diagnostic approaches have large precision errors and low...
Incidence Overweight Obesity Muscle Strength Diet Comorbidity Reproducibility of Results Biomarkers Middle Aged Humans Female Fruit Peptide Fragments Machine Learning Arthralgia Collagen Type I Quadriceps Muscle Heuristics Osteoarthritis, Knee Collagen Type II Principal Component Analysis
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Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging.

Osteoarthritis and cartilage Jun 9, 2015
OBJECTIVE: The purpose of this study is to evaluate the ability of machine learning to discriminate between magnetic resonance images (MRI) of normal and pathological human articular cartilage obtained under standard clinical conditions.
Cartilage, Articular Diffusion Magnetic Resonance Imaging Multivariate Analysis Magnetic Resonance Imaging Linear Models Algorithms Osteoarthritis, Knee Least-Squares Analysis Humans Pattern Recognition, Automated Machine Learning Image Processing, Computer-Assisted
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