Results 41 to 50 of about 432,246 (250)
The hallmark of osteoarthritis (OA), the most prevalent musculoskeletal disease, is the loss of cartilage. By using machine learning (ML), we aimed to assess if baseline knee bone curvature (BC) could predict cartilage volume loss (CVL) at one year, and ...
Hossein Bonakdari+3 more
doaj +1 more source
Future directions for the management of pain in osteoarthritis. [PDF]
Osteoarthritis (OA) is the predominant form of arthritis worldwide, resulting in a high degree of functional impairment and reduced quality of life owing to chronic pain. To date, there are no treatments that are known to modify disease progression of OA
Aigner T+23 more
core +1 more source
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative [PDF]
We present a fully automated learning-based approach for segmenting knee cartilage in the presence of osteoarthritis (OA). The algorithm employs a hierarchical set of two random forest classifiers. The first is a neighborhood approximation forest, the output probability map of which is utilized as a feature set for the second random forest (RF ...
arxiv +1 more source
Osteoarthritis and the rule of halves [PDF]
<b>Background</b> Symptomatic osteoarthritis poses a major challenge to primary health care but no studies have related accessing primary care ("detection"), receiving recommended treatments ("treatment"), and achieving adequate control ...
B.I. Nicholl+31 more
core +1 more source
A patients’ view of OA: the Global Osteoarthritis Patient Perception Survey (GOAPPS), a pilot study
Background Globally, osteoarthritis (OA) is the third condition associated with disability. There is still poor treatment in OA but science holds the key to finding better treatments and a cure.
Marianna Vitaloni+19 more
doaj +1 more source
Oral herbal therapies for treating osteoarthritis (review) [PDF]
Background Medicinal plant products are used orally for treating osteoarthritis. Although their mechanisms of action have not yet been elucidated in full detail, interactions with common inflammatory mediators provide a rationale for using them to ...
Cameron, Melainie, Chrubasik, Sigrun
core +1 more source
Walking time measures for evaluating OA of the knee
This study assessed the test-retest reliability and the sensitivity of self-paced walking time measurements for evaluating the functional performance of persons with knee osteoarthritis (OA).
R. Marks
doaj +1 more source
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST) [PDF]
Objective: To assess the ability of imaging-based deep learning to predict radiographic patellofemoral osteoarthritis (PFOA) from knee lateral view radiographs. Design: Knee lateral view radiographs were extracted from The Multicenter Osteoarthritis Study (MOST) (n = 18,436 knees).
arxiv
Summary: Objective: The aim of the study was to investigate how social housing with high locomotion activity affects experimental osteoarthritis (OA) in rats.
C. Brenneis+5 more
doaj
Geodesic analysis in Kendall's shape space with epidemiological applications [PDF]
We analytically determine Jacobi fields and parallel transports and compute geodesic regression in Kendall's shape space. Using the derived expressions, we can fully leverage the geometry via Riemannian optimization and thereby reduce the computational expense by several orders of magnitude over common, nonlinear constrained approaches. The methodology
arxiv +1 more source