Emergence of deep learning in knee osteoarthritis diagnosis
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging
The 3D nature and soft-tissue contrast of MRI makes it an invaluable tool for osteoarthritis
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis …
J Martel-Pelletier, P Paiement… - Therapeutic Advances …, 2023 - journals.sagepub.com
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …
decades. This disease is heterogeneous and involves structural changes in the whole joint …
Artificial intelligence to analyze magnetic resonance imaging in rheumatology
Rheumatic disorders present a global health challenge, marked by inflammation and
damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate …
damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate …
Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis
S Mohammadi, MA Salehi, A Jahanshahi… - Osteoarthritis and …, 2024 - 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 …
How AI may transform musculoskeletal imaging
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …
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 …
Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM)
Purpose Our purposes were (1) to explore the methodologic quality of the studies on the
deep learning in knee imaging with CLAIM criterion and (2) to offer our vision for the …
deep learning in knee imaging with CLAIM criterion and (2) to offer our vision for the …
Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis
Osteoarthritis (OA) develops through heterogenous pathophysiologic pathways. As a result,
no regulatory agency approved disease modifying OA drugs are available to date. Stratifying …
no regulatory agency approved disease modifying OA drugs are available to date. Stratifying …
Prediction model for knee osteoarthritis using magnetic resonance–based radiomic features from the infrapatellar fat pad: data from the osteoarthritis initiative
Background The infrapatellar fat pad (IPFP) plays an important role in the incidence of knee
osteoarthritis (OA). Magnetic resonance (MR) signal heterogeneity of the IPFP is related to …
osteoarthritis (OA). Magnetic resonance (MR) signal heterogeneity of the IPFP is related to …