[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
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 …
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?
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 …
(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 …
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
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 …
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 …
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 …
osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool …
Adversarial evolving neural network for longitudinal knee osteoarthritis prediction
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 …
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 …
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 …
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
Hand osteoarthritis (OA) severity can be assessed visually through radiographs using semi-
quantitative grading systems. However, these grading systems are subjective and cannot …
quantitative grading systems. However, these grading systems are subjective and cannot …