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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...

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Autores principales: Tehsin, Samabia, Kausar, Sumaira, Jameel, Amina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
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.
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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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