… The purpose of present review paper is to introduce the reader to key directions of
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis. …

… In this Perspectives article, we discuss the potential of data mining approaches incorporating
statistics and machine learning in the development of prediction models for OA as well as …

… for early knee OsteoArthritis (OA) detection using knee X-ray imaging and machine learning
… is applied on 1024 knee X-ray images from the public database OsteoArthritis Initiative (OAI)…

… Knee osteoarthritis prediction on MR images using cartilage damage index and machine
learning methods. In Proceedings of the Proceedings—2017 IEEE International Conference on …

… The purpose of this study is to evaluate the ability of a machine learning algorithm to classify
… of osteoarthritis (OA). Sixty-eight subjects were selected from the osteoarthritis initiative (OAI…

Knee osteoarthritis (KOA) is characterized by pain and decreased gait function. We aimed to
find KOA-related gait features based on patient reported outcome measures (PROMs) and …

… knee osteoarthritis (OA) progressors and classification using machine learning methods. …
Classification of the best features was done using an automatic machine learning interface and …

… This study reviews knee OA imaging … machine learning approaches for knee OA diagnosis
and prognosis. Although most studies recognized X-ray as standard imaging option for knee …

… Knee osteoarthritis (OA) is the most common … Here, we present a multi-modal machine
learning-based OA … We validated this approach on an independent test set of 3,918 knee images …

… Knee osteoarthritis (KOA) is a heterogeneous condition representing a variety of potentially
distinct phenotypes. The purpose of this study was to apply innovative machine learning …