[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

YX Teoh, KW Lai, J Usman, SL Goh… - Journal of healthcare …, 2022 - Wiley Online Library
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …

Use of machine learning in osteoarthritis research: a systematic literature review

M Binvignat, V Pedoia, AJ Butte, K Louati… - Rmd Open, 2022 - rmdopen.bmj.com
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …

[HTML][HTML] Advances in organ-on-a-chip systems for modelling joint tissue and osteoarthritic diseases

L Banh, KK Cheung, MWY Chan, EWK Young… - Osteoarthritis and …, 2022 - Elsevier
Summary Joint-on-a-chip (JOC) models are powerful tools that aid in osteoarthritis (OA)
research. These microfluidic devices apply emerging organ-on-a-chip technology to …

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 …

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 …

The application of machine learning in early diagnosis of osteoarthritis: a narrative review

A Xuan, H Chen, T Chen, J Li, S Lu… - Therapeutic …, 2023 - journals.sagepub.com
Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

Artificial intelligence: a new tool in surgeon's hand

A Gupta, T Singla, JJ Chennatt, LE David… - Journal of Education …, 2022 - journals.lww.com
Artificial intelligence (AI) is the future of surgery. Technological advancements are taking
place at an incredible pace, largely due to AI or AI-backed systems. It is likely that there will …

Artificial intelligence in arthroplasty

G Purnomo, SJ Yeo, MHL Liow - Arthroplasty, 2021 - Springer
Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in
technology, computers are now able to learn and improve, imitating humanoid cognitive …

Discovering the gene-brain-behavior link in autism via generative machine learning

S Kundu, H Sair, EH Sherr, P Mukherjee… - Science …, 2024 - science.org
Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first
approach could transform understanding and treatment of autism. However, isolating the …

Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of …

H Bonakdari, JP Pelletier, FJ Blanco, I Rego-Pérez… - BMC medicine, 2022 - Springer
Background Knee osteoarthritis is the most prevalent chronic musculoskeletal debilitating
disease. Current treatments are only symptomatic, and to improve this, we need a robust …