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Diabetic wounds and artificial intelligence: A mini-review
Diabetic wound takes longer time to heal due to micro and macro-vascular ailment. This longer healing time can lead to infections and other health complications. Foot ulcers are one of the most common diabetic wounds. These are one of the leading cause of amputations. Medical science is continuously...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846989/ https://www.ncbi.nlm.nih.gov/pubmed/36687200 http://dx.doi.org/10.12998/wjcc.v11.i1.84 |
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author | Tehsin, Samabia Kausar, Sumaira Jameel, Amina |
author_facet | Tehsin, Samabia Kausar, Sumaira Jameel, Amina |
author_sort | Tehsin, Samabia |
collection | PubMed |
description | Diabetic wound takes longer time to heal due to micro and macro-vascular ailment. This longer healing time can lead to infections and other health complications. Foot ulcers are one of the most common diabetic wounds. These are one of the leading cause of amputations. Medical science is continuously striving for improving quality of human life. A recent trend of amalgamation of knowledge, efforts and technological advancement of medical science experts and artificial intelligence researchers, has made tremendous success in diagnosis, prognosis and treatment of a variety of diseases. Diabetic wounds are no exception, as artificial intelligence experts are putting their research efforts to apply latest technological advancements in the field to help medical care personnel to deal with diabetic wounds in more effective manner. The presented study reviews the diagnostic and treatment research under the umbrella of Artificial Intelligence and computational science, for diabetic wound healing. Framework for diabetic wound assessment using artificial intelligence is presented. Moreover, this review is focused on existing and potential contribution of artificial intelligence to improve medical services for diabetic wound patients. The article also discusses the future directions for the betterment of the field that can lead to facilitate both, clinician and patients. |
format | Online Article Text |
id | pubmed-9846989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-98469892023-01-19 Diabetic wounds and artificial intelligence: A mini-review Tehsin, Samabia Kausar, Sumaira Jameel, Amina World J Clin Cases Minireviews Diabetic wound takes longer time to heal due to micro and macro-vascular ailment. This longer healing time can lead to infections and other health complications. Foot ulcers are one of the most common diabetic wounds. These are one of the leading cause of amputations. Medical science is continuously striving for improving quality of human life. A recent trend of amalgamation of knowledge, efforts and technological advancement of medical science experts and artificial intelligence researchers, has made tremendous success in diagnosis, prognosis and treatment of a variety of diseases. Diabetic wounds are no exception, as artificial intelligence experts are putting their research efforts to apply latest technological advancements in the field to help medical care personnel to deal with diabetic wounds in more effective manner. The presented study reviews the diagnostic and treatment research under the umbrella of Artificial Intelligence and computational science, for diabetic wound healing. Framework for diabetic wound assessment using artificial intelligence is presented. Moreover, this review is focused on existing and potential contribution of artificial intelligence to improve medical services for diabetic wound patients. The article also discusses the future directions for the betterment of the field that can lead to facilitate both, clinician and patients. Baishideng Publishing Group Inc 2023-01-06 2023-01-06 /pmc/articles/PMC9846989/ /pubmed/36687200 http://dx.doi.org/10.12998/wjcc.v11.i1.84 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Minireviews Tehsin, Samabia Kausar, Sumaira Jameel, Amina Diabetic wounds and artificial intelligence: A mini-review |
title | Diabetic wounds and artificial intelligence: A mini-review |
title_full | Diabetic wounds and artificial intelligence: A mini-review |
title_fullStr | Diabetic wounds and artificial intelligence: A mini-review |
title_full_unstemmed | Diabetic wounds and artificial intelligence: A mini-review |
title_short | Diabetic wounds and artificial intelligence: A mini-review |
title_sort | diabetic wounds and artificial intelligence: a mini-review |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846989/ https://www.ncbi.nlm.nih.gov/pubmed/36687200 http://dx.doi.org/10.12998/wjcc.v11.i1.84 |
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