The value of deep learning-based X-ray techniques in detecting and classifying KL grades of knee osteoarthritis: a systematic review and meta-analysis

H Zhao, L Ou, Z Zhang, L Zhang, K Liu, J Kuang - European Radiology, 2025 - Springer
Objectives Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …

[HTML][HTML] Artificial intelligence in knee osteoarthritis: a comprehensive review for 2022

O Cigdem, CM Deniz - Osteoarthritis imaging, 2023 - Elsevier
Objective The aim of this literature review is to yield a comprehensive and exhaustive
overview of the existing evidence and up-to-date applications of artificial intelligence for …

Artificial intelligence-assisted air quality monitoring for smart city management

EX Neo, K Hasikin, KW Lai, MI Mokhtar… - PeerJ Computer …, 2023 - peerj.com
Background The environment has been significantly impacted by rapid urbanization, leading
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …

Knee osteoarthritis detection and classification using x-rays

T Tariq, Z Suhail, Z Nawaz - IEEE Access, 2023 - ieeexplore.ieee.org
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …

Osteo-net: An automated system for predicting knee osteoarthritis from x-ray images using transfer-learning-based neural networks approach

HA Alshamrani, M Rashid, SS Alshamrani… - Healthcare, 2023 - mdpi.com
Knee osteoarthritis is a challenging problem affecting many adults around the world. There
are currently no medications that cure knee osteoarthritis. The only way to control the …

[HTML][HTML] Prediction of knee pain improvement over two years for knee osteoarthritis using a dynamic nomogram based on MRI-derived radiomics: a proof-of-concept …

T Lin, S Peng, S Lu, S Fu, D Zeng, J Li, T Chen… - Osteoarthritis and …, 2023 - Elsevier
Objectives To develop and validate a nomogram to detect improved knee pain in
osteoarthritis (OA) by integrating magnetic resonance imaging (MRI) radiomics signature of …

Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative

PSQ Yeoh, KW Lai, SL Goh, K Hasikin… - … in Bioengineering and …, 2023 - frontiersin.org
Knee osteoarthritis is one of the most common musculoskeletal diseases and is usually
diagnosed with medical imaging techniques. Conventionally, case identification using plain …

Deep learning-assisted knee osteoarthritis automatic grading on plain radiographs: the value of multiview X-ray images and prior knowledge

W Li, Z **ao, J Liu, J Feng, D Zhu, J Liao… - … Imaging in Medicine …, 2023 - pmc.ncbi.nlm.nih.gov
Background Knee osteoarthritis (OA) is harmful to people's health. Effective treatment
depends on accurate diagnosis and grading. This study aimed to assess the performance of …

Stratifying knee osteoarthritis features through multitask deep hybrid learning: data from the osteoarthritis initiative

YX Teoh, A Othmani, KW Lai, SL Goh… - Computer methods and …, 2023 - Elsevier
Background and objective Knee osteoarthritis (OA) is a debilitating musculoskeletal disorder
that causes functional disability. Automatic knee OA diagnosis has great potential of …

Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images

B Subha, V Jeyakumar, SN Deepa - Scientific Reports, 2024 - nature.com
Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain
and abnormalities for humans and on detecting at an early stage, timely treatment shall be …