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1/14/2026 8:39:28 AM | Browse: 3 | Download: 13
Publication Name World Journal of Transplantation
Manuscript ID 111103
Country United Kingdom
Received
2025-06-24 08:30
Peer-Review Started
2025-06-24 08:30
First Decision by Editorial Office Director
2025-08-04 07:38
Return for Revision
2025-08-04 07:38
Revised
2025-08-17 07:31
Publication Fee Transferred
Second Decision by Editor
2025-10-22 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-10-22 08:54
Articles in Press
2025-10-22 08:54
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-01-07 01:17
Publish the Manuscript Online
2026-01-14 08:39
ISSN 2220-3230 (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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Transplantation
Manuscript Type Opinion Review
Article Title Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation
Manuscript Source Invited Manuscript
All Author List Rowan Abuyadek, Sara A Ghitani, Ramy Shaaban, Muhammad AbdelAziz Quoritem, Mohammed S Foula, Rodaina Osama Abdel Majid, Manar Mokhtar, Yasir Ahmed Mohammed Elhadi and Amr Alnagar
ORCID
Author(s) ORCID Number
Rowan Abuyadek http://orcid.org/0000-0002-2468-4940
Sara A Ghitani http://orcid.org/0000-0002-3430-5799
Amr Alnagar http://orcid.org/0000-0003-3434-6459
Funding Agency and Grant Number
Corresponding Author Amr Alnagar, PhD, Department of General Surgery, University Hospitals of Birmingham, No. 6 Chamberlain Road, Birmingham B13 0QB, United Kingdom. amr.alnagar@nhs.net
Key Words Artificial intelligence; Solid organ transplantation; Electronic Delphi; Expert consensus; Donor matching; Digital health
Core Tip This study uniquely captures the collective insights of global transplantation experts on the integration of artificial intelligence, using an electronic Delphi approach to identify consensus, concerns, and implementation barriers - providing a critical foundation for ethically grounded and clinically relevant artificial intelligence adoption in organ transplantation. Initial findings show a globally positive outlook on artificial intelligence’s role in supporting transplantation processes, especially in donor matching and post-operative care areas. This should be considered with caution among professionals implementing the new technologies into high-stakes clinical practice.
Publish Date 2026-01-14 08:39
Citation

Abuyadek R, A Ghitani S, Shaaban R, Quoritem MA, Foula MS, Abdel Majid RO, Mokhtar M, Elhadi YAM, Alnagar A. Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation. World J Transplant 2026; 16(1): 111103

URL https://www.wjgnet.com/2220-3230/full/v16/i1/111103.htm
DOI https://dx.doi.org/10.5500/wjt.v16.i1.111103
Full Article (PDF) WJT-16-111103-with-cover.pdf
Manuscript File 111103_Auto_Edited_012018.docx
Answering Reviewers 111103-answering-reviewers.pdf
Audio Core Tip 111103-audio.mp3
Conflict-of-Interest Disclosure Form 111103-conflict-of-interest-statement.pdf
Copyright License Agreement 111103-copyright-assignment.pdf
Peer-review Report 111103-peer-reviews.pdf
Scientific Misconduct Check 111103-scientific-misconduct-check.png
Scientific Editor Work List 111103-scientific-editor-work-list.pdf
CrossCheck Report 111103-crosscheck-report.pdf