AIMC Topic: Osteoarthritis, Knee

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Emergence of Deep Learning in Knee Osteoarthritis Diagnosis.

Computational intelligence and neuroscience Nov 10, 2021
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing significant disability in patients worldwide. Manual diagnosis, segmentation, and annotations of knee joints remain as the popular method to diagnose OA in clinica...
Deep Learning Humans Magnetic Resonance Imaging Neural Networks, Computer Osteoarthritis, Knee
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Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes.

Arthritis & rheumatology (Hoboken, N.J.) Oct 29, 2021
OBJECTIVE: To develop a bone shape measure that reflects the extent of cartilage loss and bone flattening in knee osteoarthritis (OA) and test it against estimates of disease severity.
Humans Male Knee Joint Female Middle Aged Aged Severity of Illness Index Osteoarthritis, Knee Disease Progression Deep Learning Cartilage, Articular Magnetic Resonance Imaging
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A deep learning method for predicting knee osteoarthritis radiographic progression from MRI.

Arthritis research & therapy Oct 18, 2021
BACKGROUND: The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs.
Knee Joint Osteoarthritis, Knee Cartilage, Articular Deep Learning Magnetic Resonance Imaging Humans Disease Progression
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Transitioning a Practice to Robotic Total Knee Arthroplasty Is Correlated with Favorable Short-Term Clinical Outcomes-A Single Surgeon Experience.

The journal of knee surgery Oct 2, 2021
Robotic Surgical Procedures Humans Surgeons Knee Joint Arthroplasty, Replacement, Knee Robotics Osteoarthritis, Knee
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Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population.

BMC musculoskeletal disorders Oct 2, 2021
BACKGROUND: Prevalence for knee osteoarthritis is rising in both Sweden and globally due to increased age and obesity in the population. This has subsequently led to an increasing demand for knee arthroplasties. Correct diagnosis and classification o...
Reproducibility of Results Adult Deep Learning Humans Artificial Intelligence Knee Joint Osteoarthritis, Knee
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An Automatic Knee Osteoarthritis Diagnosis Method Based on Deep Learning: Data from the Osteoarthritis Initiative.

Journal of healthcare engineering Sep 27, 2021
Osteoarthritis (OA) is the most common form of arthritis. According to the evidence presented on both sides of the knee bones, radiologists assess the severity of OA based on the Kellgren-Lawrence (KL) grading system. Recently, computer-aided methods...
Humans Osteoarthritis, Knee Deep Learning
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Machine Learning-Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative.

Arthritis care & research Aug 26, 2021
OBJECTIVE: By using machine learning, our study aimed to build a model to predict risk and time to total knee replacement (TKR) of an osteoarthritic knee.
Arthroplasty, Replacement, Knee Knee Prosthesis Osteoarthritis, Knee United States Support Vector Machine Predictive Value of Tests Disease Progression Time Factors Risk Factors Humans Risk Assessment Decision Support Techniques Machine Learning
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A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction.

Scientific reports Aug 19, 2021
Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity assessment. Existing methods ignore following problems: (1) more accurately located knee joints benefit subsequent grades prediction; (2) they do not consider kne...
Knee Joint Databases as Topic Osteoarthritis, Knee Algorithms Imaging, Three-Dimensional Humans Neural Networks, Computer
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Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Aug 6, 2021
Morphological changes in knee cartilage subregions are valuable imaging-based biomarkers for understanding progression of osteoarthritis, and they are typically detected from magnetic resonance imaging (MRI). So far, accurate segmentation of cartilag...
Cartilage, Articular Osteoarthritis Osteoarthritis, Knee Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Knee Joint
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Association of Machine Learning-Based Predictions of Medial Knee Contact Force With Cartilage Loss Over 2.5 Years in Knee Osteoarthritis.

Arthritis & rheumatology (Hoboken, N.J.) Aug 6, 2021
OBJECTIVE: The relationship between in vivo knee load predictions and longitudinal cartilage changes has not been investigated. We undertook this study to develop an equation to predict the medial tibiofemoral contact force (MCF) peak during walking ...
Female Aged Male Middle Aged Biomechanical Phenomena Humans Machine Learning Gait Osteoarthritis, Knee Magnetic Resonance Imaging Cartilage, Articular Knee Joint
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