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World J Clin Cases. Jan 6, 2023; 11(1): 84-91
Published online Jan 6, 2023. doi: 10.12998/wjcc.v11.i1.84
Diabetic wounds and artificial intelligence: A mini-review
Samabia Tehsin, Sumaira Kausar, Amina Jameel
Samabia Tehsin, Computer Science, Bahria University, Karachi 75260, Sindh, Pakistan
Sumaira Kausar, Computer Science, Bahria University, Islamabad 46000, Pakistan
Amina Jameel, Department of Computer Engineering, Bahria University, Islamabad 46000, Pakistan
Author contributions: Tehsin S contributed in the discussion and literature review; Kausar S analyzed the methodologies; Jameel A wrote about the introduction of the domain.
Conflict-of-interest statement: We have no conflicts of interest to disclose.
Open-Access: 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. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Samabia Tehsin, PhD, Associate Professor, Computer Science, Bahria University, 13 National Stadium Road, Karsaz Faisal Cantonment, Karachi 75260, Sindh, Pakistan. samabiatehsin.bukc@bahria.edu.pk
Received: November 14, 2022
Peer-review started: November 14, 2022
First decision: December 1, 2022
Revised: December 12, 2022
Accepted: December 23, 2022
Article in press: December 23, 2022
Published online: January 6, 2023
Processing time: 51 Days and 19 Hours
Abstract

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.

Keywords: Diabetic wounds; Artificial intelligence; Foot ulcer; Amputation; Diagnosis; Machine learning

Core Tip: This mini-review covers the contributions of Artificial Intelligence (AI) in the field of diabetic wound assessment, treatment and healing. It discusses the AI based framework for the diagnosis of Diabetic wounds. It also highlights the limitations and future endeavors of the said field in collaboration with technological advancements. This review can give the clinicians the idea of scientific innovations in their field and can facilitate the adoption of the technology as well. This also pathways for the collaborative research opportunities for clinicians and AI experts.