Emergence of deep learning in knee osteoarthritis diagnosis

PSQ Yeoh, KW Lai, SL Goh, K Hasikin… - Computational …, 2021 - Wiley Online Library
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …

[HTML][HTML] Machine learning in knee osteoarthritis: A review

C Kokkotis, S Moustakidis, E Papageorgiou… - … and Cartilage Open, 2020 - Elsevier
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 …

Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models

SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …

Advances in mesenchymal stem cell therapy for osteoarthritis: from preclinical and clinical perspectives

Z Lv, X Cai, Y Bian, Z Wei, W Zhu, X Zhao, X Weng - Bioengineering, 2023 - mdpi.com
The prevalence of osteoarthritis (OA), a degenerative disorder of joints, has substantially
increased in recent years. Its key pathogenic hallmarks include articular cartilage …

Use of machine learning in osteoarthritis research: a systematic literature review

M Binvignat, V Pedoia, AJ Butte, K Louati… - Rmd Open, 2022 - rmdopen.bmj.com
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …

Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images

A Rehman, A Raza, FS Alamri, B Alghofaily… - IEEE Access, 2023 - ieeexplore.ieee.org
Osteoarthritis is a deteriorating joint disease affecting millions worldwide. Osteoarthritis is a
chronic condition that develops over time due to joint wear and tears. The degeneration of …

[HTML][HTML] A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis

S Abd El-Ghany, M Elmogy, AA Abd El-Aziz - Egyptian Informatics Journal, 2023 - Elsevier
Knee osteoarthritis (KOA) sufferers have one of the highest disability-adjusted life years. The
entire knee joint is affected by KOA. KOA is a condition that makes it hard for the knee to …

[HTML][HTML] Understanding the role and adoption of artificial intelligence techniques in rheumatology research: an in-depth review of the literature

A Madrid-García, B Merino-Barbancho… - Seminars in Arthritis and …, 2023 - Elsevier
The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …

Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology

C Kokkotis, C Ntakolia, S Moustakidis, G Giakas… - … Engineering Sciences in …, 2022 - Springer
Abstract Knee Osteoarthritis (ΚΟΑ) is a degenerative joint disease of the knee that results
from the progressive loss of cartilage. Due to KOA's multifactorial nature and the poor …

A comprehensive survey on bone segmentation techniques in knee osteoarthritis research: From conventional methods to deep learning

SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
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 …