Publication Name	World Journal of Transplantation
Manuscript ID	65111
Country	Türkiye

Received	2021-02-28 10:38
Peer-Review Started	2021-02-28 10:44
To Make the First Decision
Return for Revision	2021-05-05 18:51
Revised	2021-05-17 17:40
Second Decision	2021-06-04 08:53
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-06-04 09:19
Articles in Press	2021-06-04 09:19
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-06-14 13:52
Typeset the Manuscript	2021-07-12 03:27
Publish the Manuscript Online	2021-07-13 09:21

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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Transplantation
Manuscript Type	Minireviews
Article Title	Artificial intelligence and kidney transplantation
Manuscript Source	Invited Manuscript
All Author List	Nurhan Seyahi and Seyda Gul Ozcan
ORCID	Author(s) ORCID Number Nurhan Seyahi http://orcid.org/0000-0001-7427-618X Seyda Gul Ozcan http://orcid.org/0000-0002-4341-5252
Funding Agency and Grant Number	Funding Agency Grant Number None
Corresponding Author	Nurhan Seyahi, MD, Professor, Department of Nephrology, Istanbul University-Cerrahpaşa, Cerrahpaşa Medical Faculty, Cerrahpaşa Tıp Fakültesi, İç hastalıkları Anabilim Dalı, Istanbul 34098, Fatih, Türkiye. nseyahi@yahoo.com
Key Words	Artificial intelligence; Kidney transplantation; Machine learning, Neuronal networks; Deep learning; Support vector machines
Core Tip	Artificial intelligence is used in a large spectrum of areas in kidney transplantation. Developments in those areas will shape the future of medical care with faster and more standardized medical evaluations and more accurate personalized judgments.
Publish Date	2021-07-13 09:21
Citation	Seyahi N, Ozcan SG. Artificial intelligence and kidney transplantation. World J Transplant 2021; 11(7): 277-289
URL	https://www.wjgnet.com/2220-3230/full/v11/i7/277.htm
DOI	https://dx.doi.org/10.5500/wjt.v11.i7.277

Full Article (PDF)	WJT-11-277.pdf
Full Article (Word)	WJT-11-277.docx
Manuscript File	65111_Auto_Edited-ZMG_WangTQ.docx
Answering Reviewers	65111-Answering reviewers.pdf
Audio Core Tip	65111-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	65111-Conflict-of-interest statement.pdf
Copyright License Agreement	65111-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	65111-Language certificate.pdf
Peer-review Report	65111-Peer-review(s).pdf
Scientific Misconduct Check	65111-Bing-Ma YJ-1.jpg
Scientific Misconduct Check	65111-Bing-Liu M-2.png
Scientific Misconduct Check	65111-Scientific misconduct check.pdf
Scientific Editor Work List	65111-Scientific editor work list.pdf
CrossCheck Report	65111-CrossCheck report.pdf