Copyright
©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jan 6, 2023; 11(1): 84-91
Published online Jan 6, 2023. doi: 10.12998/wjcc.v11.i1.84
Published online Jan 6, 2023. doi: 10.12998/wjcc.v11.i1.84
Diabetic wounds and artificial intelligence: A mini-review
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
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
Core Tip
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.