Publication Name	World Journal of Radiology
Manuscript ID	82467
Country	Bulgaria

Received	2022-12-19 14:07
Peer-Review Started	2022-12-19 14:09
To Make the First Decision
Return for Revision	2023-02-20 08:01
Revised	2023-03-21 03:29
Second Decision	2023-04-10 03:10
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-04-10 08:20
Articles in Press	2023-04-10 08:20
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2023-05-17 06:56
Publish the Manuscript Online	2023-05-23 05:56

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/
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Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Future of prostate imaging - artificial intelligence in assessing prostatic magnetic resonance imaging
Manuscript Source	Invited Manuscript
All Author List	Lyubomir Chervenkov, Nikolay Sirakov, Gancho Kostov, Tsvetelina Velikova and George Hadjidekov
Funding Agency and Grant Number
Corresponding Author	George Hadjidekov, MD, PhD, Associate Professor, Department of Radiology, University Hospital Lozenetz, 1 Kozyak str, Sofia 1407, Bulgaria. jordiman76@yahoo.com
Key Words	Artificial intelligence; Deep learning; Machine learning; Multiparametric magnetic resonance imaging; Prostate cancer; Quantitative imaging
Core Tip	There are currently enough studies showing the possible benefits of using artificial intelligence in prostate cancer diagnosis. In addition, there are various software products to assist the radiologist in diagnosis in this field, created by leading companies. However, a new approach is needed in diagnosing prostate carcinoma due to the complexity of the disease.
Publish Date	2023-05-23 05:56
Citation	Chervenkov L, Sirakov N, Kostov G, Velikova T, Hadjidekov G. Future of prostate imaging - artificial intelligence in assessing prostatic magnetic resonance imaging. World J Radiol 2023; 15(5): 136-145
URL	https://www.wjgnet.com/1949-8470/full/v15/i5/136.htm
DOI	https://dx.doi.org/10.4329/wjr.v15.i5.136

Full Article (PDF)	WJR-15-136.pdf
Full Article (Word)	WJR-15-136.docx
Manuscript File	82467_Auto_Edited-JLW.docx
Answering Reviewers	82467-Answering reviewers.pdf
Audio Core Tip	82467-Audio core tip.m4a
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Scientific Editor Work List	82467-Scientific editor work list.pdf
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