[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

YX Teoh, KW Lai, J Usman, SL Goh… - Journal of healthcare …, 2022 - Wiley Online Library
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 …

Systematic review of artificial intelligence tack in preventive orthopaedics: is the land coming soon?

A Korneev, M Lipina, A Lychagin, P Timashev… - International …, 2023 - Springer
Purpose This study aims to describe and assess the current stage of the artificial intelligence
(AI) technology integration in preventive orthopaedics of the knee and hip joints. Materials …

[HTML][HTML] Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …

[HTML][HTML] An adaptive early stopping technique for DenseNet169-based knee osteoarthritis detection model

BAS Al-Rimy, F Saeed, M Al-Sarem, AM Albarrak… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (OA) detection is an important area of research in health informatics that
aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we …

[HTML][HTML] DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis …

J Hu, C Zheng, Q Yu, L Zhong, K Yu… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background No investigations have thoroughly explored the feasibility of combining
magnetic resonance (MR) images and deep-learning methods for predicting the progression …

Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis

S Mohammadi, MA Salehi, A Jahanshahi… - Osteoarthritis and …, 2023 - Elsevier
Objectives As an increasing number of studies apply artificial intelligence (AI) algorithms in
osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool …

Adversarial evolving neural network for longitudinal knee osteoarthritis prediction

K Hu, W Wu, W Li, M Simic, A Zomaya… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Knee osteoarthritis (KOA) as a disabling joint disease has doubled in prevalence since the
mid-20th century. Early diagnosis for the longitudinal KOA grades has been increasingly …

[HTML][HTML] Augmented reality (AR) and fracture mapping model on middle-aged femoral neck fracture: A proof-of-concept towards interactive visualization

YQ Wang, PF Li, ZH Xu, YQ Zhang, QN Lee… - Medicine in Novel …, 2022 - Elsevier
A thorough understanding of the fracture characteristics can assist the decision-making
process for surgery. This study aimed to characterize the femoral neck fractures among …

Knee osteoarthritis detection using an improved CenterNet with pixel-wise voting scheme

S Aladhadh, R Mahum - IEEE Access, 2023 - ieeexplore.ieee.org
To detect knee disease, radiologists have been utilizing multi-view images such as
computer tomography (CT) scans, MRIs, and X-rays. The cheapest method is X-ray to attain …

Automatic measuring of finger joint space width on hand radiograph using deep learning and conventional computer vision methods

R Ponnusamy, M Zhang, Z Chang, Y Wang… - … Signal Processing and …, 2023 - Elsevier
Hand osteoarthritis (OA) severity can be assessed visually through radiographs using semi-
quantitative grading systems. However, these grading systems are subjective and cannot …