Objective 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 …

Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …

Knee osteoarthritis (KOA) is the most common form of joint degeneration with increasing
prevalence and incidence in recent decades. KOA is a molecular disorder characterized by …

Objective To develop and evaluate deep learning (DL) risk assessment models for
predicting pain progression in subjects with or at risk of knee osteoarthritis (OA). Materials …

Background The identification of patients with knee osteoarthritis (OA) likely to progress
rapidly in terms of structure is critical to facilitate the development of disease-modifying …

Knee osteoarthritis (KOA) is a degenerative joint disease, which significantly affects middle-
aged and elderly people. The majority of KOA is primarily based on hyaline cartilage …

Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …

Objective To develop and evaluate deep learning (DL) risk assessment models for
predicting the progression of radiographic medial joint space loss using baseline knee X …

Different profiles of pain progression have been reported in patients with knee osteoarthritis
(OA), but the determinants of this heterogeneity are still to be sought. The aim of this …

Objectives Osteoarthritis (OA) is a complex disease comprising diverse underlying patho-
mechanisms. To enable the development of effective therapies, segmentation of the …