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3/25/2022 7:47:25 AM | Browse: 297 | Download: 544
Publication Name World Journal of Radiology
Manuscript ID 66053
Country Türkiye
Received
2021-03-20 08:19
Peer-Review Started
2021-03-20 08:22
To Make the First Decision
Return for Revision
2021-07-18 23:02
Revised
2021-09-05 20:49
Second Decision
2022-02-21 07:28
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-02-23 21:14
Articles in Press
2022-02-23 21:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-03-22 05:43
Publish the Manuscript Online
2022-03-25 07:47
ISSN 1949-8470 (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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2022. 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 Dentistry, Oral Surgery & Medicine
Manuscript Type Editorial
Article Title Artificial intelligence in dentomaxillofacial radiology
Manuscript Source Invited Manuscript
All Author List Seyide Tugce Gokdeniz and Kıvanç Kamburoğlu
ORCID
Author(s) ORCID Number
Seyide Tugce Gokdeniz http://orcid.org/0000-0001-9756-8265
Kıvanç Kamburoğlu http://orcid.org/0000-0002-4134-5756
Funding Agency and Grant Number
Corresponding Author Kıvanç Kamburoğlu, DDS, MSc, PhD, Professor, Department of Dentomaxillofacial Radiology, Ankara University Faculty of Dentistry, Besevler, Ankara 06500, Türkiye. dtkivo@yahoo.com
Key Words Artificial intelligence; Diagnostic imaging; Radiology; Dentistry
Core Tip Scientists are enthusiastic about conducting artificial intelligence (AI) research related to dentomaxillofacial radiology (DMFR). Image and patient recognition are important in DMFR, however initial investment costs are still high and misdiagnosis may occur in real clinical situations. Up until now, DMFR related AI studies revealed successful results to some extent, however human physiological system is so complex that AI can be a supplementary method but not a substitution for human knowledge, capability and decision-making ability.
Publish Date 2022-03-25 07:47
Citation Gokdeniz ST, Kamburoğlu K. Artificial intelligence in dentomaxillofacial radiology. World J Radiol 2022; 14(3): 55-59
URL https://www.wjgnet.com/1949-8470/full/v14/i3/55.htm
DOI https://dx.doi.org/10.4329/wjr.v14.i3.55
Full Article (PDF) WJR-14-55.pdf
Full Article (Word) WJR-14-55.docx
Manuscript File 66053_Auto_Edited.docx
Answering Reviewers 66053-Answering reviewers.pdf
Audio Core Tip 66053-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 66053-Conflict-of-interest statement.pdf
Copyright License Agreement 66053-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 66053-Language certificate.pdf
Peer-review Report 66053-Peer-review(s).pdf
Scientific Misconduct Check 66053-Bing-Wang JL-1.jpg
Scientific Misconduct Check 66053-Bing-Fan JR-2.png
Scientific Editor Work List 66053-Scientific editor work list.pdf