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 …

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 …

[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 …

Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis-a scoping review

S Dhall, A Vaish, R Vaishya - Journal of Clinical Orthopaedics and Trauma, 2024 - Elsevier
Abstract Background and Objectives Machine Learning (ML) and Deep Learning (DL) are
novel technologies that can facilitate early diagnosis of Ankylosing Spondylitis (AS) and …

[HTML][HTML] Automated patellar height assessment on high-resolution radiographs with a novel deep learning-based approach

K Kwolek, D Grzelecki, K Kwolek… - World Journal of …, 2023 - ncbi.nlm.nih.gov
BACKGROUND Artificial intelligence and deep learning have shown promising results in
medical imaging and interpreting radiographs. Moreover, medical community shows a …

Artificial Intelligence in Orthopedic Implant Model Classification

S Sushma, T Anuradha, DRD Brabin… - Handbook of Research …, 2023 - igi-global.com
Although past studies and the performance of prior models have not been assessed,
artificial intelligence models have shown great accuracy in distinguishing particular …

Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach

MR Prusty, RM Sudharsan, P Anand - Applied Soft Computing, 2024 - Elsevier
In the evolving landscape of medical diagnostics, a paradigm shift is being catalysed by the
advent of generative artificial intelligence. Medical X-ray, CT and MRI images are essential …

Evaluation of machine learning models to identify hip arthroplasty implants using transfer learning algorithms

A Tiwari, AK Yadav, KS Akshay, V Bagaria - Journal of Clinical …, 2023 - Elsevier
The number of people undergoing total hip arthroplasty (THA) is increasing, which has led to
an increase in revision hip arthroplasty (RHA). It is generally believed that revision …

Survival analysis on subchondral bone length for total knee replacement

T Surendran, LK Park, MV Lauber, B Cha, RS Jhun… - Skeletal Radiology, 2024 - Springer
Objective Use subchondral bone length (SBL), a new MRI-derived measure that reflects the
extent of cartilage loss and bone flattening, to predict the risk of progression to total knee …

Comprehensive Study on Scoring and Grading Systems for Predicting the Severity of Knee Osteoarthritis

P Mahendrakar, D Kumar, U Patil - Current Rheumatology …, 2024 - ingentaconnect.com
Knee Osteoarthritis (KOA) is a degenerative joint ailment characterized by cartilage loss,
which can be seen using imaging modalities and converted into imaging features. The older …