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Publication Name World Journal of Clinical Cases
Manuscript ID 116656
Country United States
Category Medicine, General & Internal
Manuscript Type Observational Study
Article Title Skin tone bias in online psoriasis imagery: Insights from an international study
Manuscript Source Invited Manuscript
All Author List Aman Sandhu, Sanya Ailani, Smitesh Padte, Priyal Mehta, Neha Deo, Salim Surani and Rahul Kashyap
Funding Agency and Grant Number
Corresponding Author Salim Surani, FACP, FCCP, MD, Professor, Department of Medicine, University of Houston, 4302 University Drive, Houston, TX 77004, United States. srsurani@hotmail.com
Key Words Psoriasis; Internet; Skin tone bias; Image search; Global
Core Tip In this global observational study, online psoriasis image search results across major web browsers were systematically analyzed to assess the representation of skin tone. Lighter skin tones overwhelmingly predominated early search results, while darker skin tones were consistently ranked lower in visibility, limiting early exposure for patients of color. These findings reinforce a lack of diverse dermatologic imagery worldwide and underscore the need for more equitable medical resources.
Citation Sandhu A, Ailani S, Padte S, Mehta P, Deo N, Surani S, Kashyap R. Skin tone bias in online psoriasis imagery: Insights from an international study. World J Clin Cases 2025; In press
Received
2025-11-17 04:38
Peer-Review Started
2025-11-17 04:38
First Decision by Editorial Office Director
2025-11-19 10:11
Return for Revision
2025-11-19 10:11
Revised
2025-12-03 04:34
Publication Fee Transferred
Second Decision by Editor
2025-12-12 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-12 07:41
Articles in Press
2025-12-12 07:41
Edit the Manuscript by Language Editor
Typeset the Manuscript
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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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