[HTML][HTML] Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs

A Tiwari, M Poduval, V Bagaria - World Journal of Orthopedics, 2022 - ncbi.nlm.nih.gov
BACKGROUND Deep learning, a form of artificial intelligence, has shown promising results
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …

[HTML][HTML] Evaluating the efficacy of deep learning models for knee osteoarthritis prediction based on Kellgren-Lawrence grading system

V Kalpana, GH Kumar - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Osteoarthritis of the knee, also known as OA has been determined that osteoarthritis of the
knee is the leading cause of activity limitations and the development of disability, particularly …

[HTML][HTML] Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks

A Tiulpin, S Saarakkala - Diagnostics, 2020 - mdpi.com
Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …

Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists

A Swiecicki, N Li, J O'Donnell, N Said, J Yang… - Computers in biology …, 2021 - Elsevier
A fully-automated deep learning algorithm matched performance of radiologists in
assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence …

[HTML][HTML] Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis

JS Yoon, CJ Yon, D Lee, JJ Lee, CH Kang… - BMC musculoskeletal …, 2023 - Springer
Abstract Background The Kellgren-Lawrence (KL) grading system is the most widely used
method to classify the severity of osteoarthritis (OA) of the knee. However, due to ambiguity …

[HTML][HTML] Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images

AS Mohammed, AA Hasanaath, G Latif, A Bashar - Diagnostics, 2023 - mdpi.com
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …

[HTML][HTML] Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning

J Yang, Q Ji, M Ni, G Zhang, Y Wang - Journal of Orthopaedic Surgery and …, 2022 - Springer
Background For knee osteoarthritis, the commonly used radiology severity criteria Kellgren–
Lawrence lead to variability among surgeons. Most existing diagnosis models require …

Automated classification of radiographic knee osteoarthritis severity using deep neural networks

KA Thomas, Ł Kidziński, E Halilaj… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To develop an automated model for staging knee osteoarthritis severity from
radiographs and to compare its performance to that of musculoskeletal radiologists …

[PDF][PDF] Artificial intelligence assistance in radiographic detection and classification of knee osteoarthritis and its severity: a cross-sectional diagnostic study

N Pongsakonpruttikul, C Angthong… - Eur Rev Med …, 2022 - academia.edu
OBJECTIVE: Radiographic interpretation suffers from an ever-increasing workload in
orthopedic and radiology departments. The present study applied and assessed the …

Applying densely connected convolutional neural networks for staging osteoarthritis severity from plain radiographs

B Norman, V Pedoia, A Noworolski, TM Link… - Journal of digital …, 2019 - Springer
Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using
the 0–4 Kellgren Lawrence (KL) grading system where 0 is normal, 1 shows doubtful signs …