Cargando…

Medical imaging in rheumatoid arthritis: A review on deep learning approach

Arthritis is a musculoskeletal disorder. Millions of people have arthritis, making it one of the most common joint disorders. Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most common types of arthritis among the many different types available. Pain, stiffness, and inflammation are among...

Descripción completa

Detalles Bibliográficos
Autores principales: Parashar, Apoorva, Rishi, Rahul, Parashar, Anubha, Rida, Imad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329279/
https://www.ncbi.nlm.nih.gov/pubmed/37426615
http://dx.doi.org/10.1515/biol-2022-0611
_version_ 1785069983253921792
author Parashar, Apoorva
Rishi, Rahul
Parashar, Anubha
Rida, Imad
author_facet Parashar, Apoorva
Rishi, Rahul
Parashar, Anubha
Rida, Imad
author_sort Parashar, Apoorva
collection PubMed
description Arthritis is a musculoskeletal disorder. Millions of people have arthritis, making it one of the most common joint disorders. Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most common types of arthritis among the many different types available. Pain, stiffness, and inflammation are among the early signs of arthritis, which can progress to severe immobility at a later stage if left untreated. Although arthritis cannot be cured at any point in time, it can be managed if diagnosed and treated correctly. Clinical diagnostic and medical imaging methods are currently used to evaluate OA and RA, both debilitating conditions. This review is focused on deep learning approaches used by taking medical imaging (X-rays and magnetic resonance imaging) as input for the detection of RA.
format Online
Article
Text
id pubmed-10329279
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-103292792023-07-09 Medical imaging in rheumatoid arthritis: A review on deep learning approach Parashar, Apoorva Rishi, Rahul Parashar, Anubha Rida, Imad Open Life Sci Research Article Arthritis is a musculoskeletal disorder. Millions of people have arthritis, making it one of the most common joint disorders. Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most common types of arthritis among the many different types available. Pain, stiffness, and inflammation are among the early signs of arthritis, which can progress to severe immobility at a later stage if left untreated. Although arthritis cannot be cured at any point in time, it can be managed if diagnosed and treated correctly. Clinical diagnostic and medical imaging methods are currently used to evaluate OA and RA, both debilitating conditions. This review is focused on deep learning approaches used by taking medical imaging (X-rays and magnetic resonance imaging) as input for the detection of RA. De Gruyter 2023-07-06 /pmc/articles/PMC10329279/ /pubmed/37426615 http://dx.doi.org/10.1515/biol-2022-0611 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Parashar, Apoorva
Rishi, Rahul
Parashar, Anubha
Rida, Imad
Medical imaging in rheumatoid arthritis: A review on deep learning approach
title Medical imaging in rheumatoid arthritis: A review on deep learning approach
title_full Medical imaging in rheumatoid arthritis: A review on deep learning approach
title_fullStr Medical imaging in rheumatoid arthritis: A review on deep learning approach
title_full_unstemmed Medical imaging in rheumatoid arthritis: A review on deep learning approach
title_short Medical imaging in rheumatoid arthritis: A review on deep learning approach
title_sort medical imaging in rheumatoid arthritis: a review on deep learning approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329279/
https://www.ncbi.nlm.nih.gov/pubmed/37426615
http://dx.doi.org/10.1515/biol-2022-0611
work_keys_str_mv AT parasharapoorva medicalimaginginrheumatoidarthritisareviewondeeplearningapproach
AT rishirahul medicalimaginginrheumatoidarthritisareviewondeeplearningapproach
AT parasharanubha medicalimaginginrheumatoidarthritisareviewondeeplearningapproach
AT ridaimad medicalimaginginrheumatoidarthritisareviewondeeplearningapproach