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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 …
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 …
overview of the existing evidence and up-to-date applications of artificial intelligence for …
Artificial intelligence-assisted air quality monitoring for smart city management
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 …
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
Knee osteoarthritis detection and classification using x-rays
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
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
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 …
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 …
Objectives To develop and validate a nomogram to detect improved knee pain in
osteoarthritis (OA) by integrating magnetic resonance imaging (MRI) radiomics signature of …
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
Knee osteoarthritis is one of the most common musculoskeletal diseases and is usually
diagnosed with medical imaging techniques. Conventionally, case identification using plain …
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 …
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
Background and objective Knee osteoarthritis (OA) is a debilitating musculoskeletal disorder
that causes functional disability. Automatic knee OA diagnosis has great potential of …
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
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 …
and abnormalities for humans and on detecting at an early stage, timely treatment shall be …