Publication Name	World Journal of Clinical Cases
Manuscript ID	81532
Country	Pakistan

Received	2022-11-14 08:10
Peer-Review Started	2022-11-14 08:12
To Make the First Decision
Return for Revision	2022-12-01 10:00
Revised	2022-12-12 09:03
Second Decision	2022-12-23 03:15
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-12-23 09:04
Articles in Press	2022-12-23 09:04
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-12-26 05:40
Publish the Manuscript Online	2023-01-05 03:12

ISSN	2307-8960 (online)
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright	©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
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Website	http://www.wjgnet.com

Category	Engineering, Biomedical
Manuscript Type	Minireviews
Article Title	Diabetic wounds and artificial intelligence: A mini-review
Manuscript Source	Invited Manuscript
All Author List	Samabia Tehsin, Sumaira Kausar and Amina Jameel
ORCID	Author(s) ORCID Number Samabia Tehsin http://orcid.org/0000-0003-0761-0752
Funding Agency and Grant Number
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
Key Words	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.
Publish Date	2023-01-05 03:12
Citation	Tehsin S, Kausar S, Jameel A. Diabetic wounds and artificial intelligence: A mini-review. World J Clin Cases 2023; 11(1): 84-91
URL	https://www.wjgnet.com/2307-8960/full/v11/i1/84.htm
DOI	https://dx.doi.org/10.12998/wjcc.v11.i1.84

Full Article (PDF)	WJCC-11-84.pdf
Full Article (Word)	WJCC-11-84.docx
Manuscript File	81532_Auto_Edited-LJH-JLW.docx
Answering Reviewers	81532-Answering reviewers.pdf
Audio Core Tip	81532-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	81532-Conflict-of-interest statement.pdf
Copyright License Agreement	81532-Copyright license agreement.pdf
Peer-review Report	81532-Peer-review(s).pdf
Scientific Misconduct Check	81532-Bing-Liu JH-2.jpg
Scientific Misconduct Check	81532-CrossCheck.jpg
Scientific Editor Work List	81532-Scientific editor work list.pdf