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7/27/2020 10:25:04 AM | Browse: 19 | Download: 12
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 57994
Country/Territory Romania
Received
2020-07-01 19:25
Peer-Review Started
2020-07-01 19:26
To Make the First Decision
Return for Revision
2020-07-15 05:10
Revised
2020-07-18 19:29
Second Decision
2020-07-20 10:24
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-07-20 19:35
Articles in Press
2020-07-20 19:35
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-07-22 21:28
Typeset the Manuscript
2020-07-24 01:11
Publish the Manuscript Online
2020-07-27 09:30
ISSN 2644-3236 (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) 2020. 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 Gastroenterology and Hepatology
Manuscript Type Editorial
Article Title Digital histology in celiac disease: A practice changer
Manuscript Source Invited Manuscript
All Author List Daniel Vasile Balaban and Mariana Jinga
Funding Agency and Grant Number
Corresponding author Daniel Vasile Balaban, MD, PhD, Senior Lecturer, Internal Medicine and Gastroenterology, Carol Davila University of Medicine and Pharmacy, Dr. Carol Davila Central Military Emergency University Hospital, 37 Dionisie Lupu, Bucharest 020021, Romania. vbalaban@yahoo.com
Keywords Celiac disease; Histology; Artificial intelligence; Computer; Digital; Diagnosis
Core Tip Histology in celiac disease (CD) diagnosis is hampered by several pitfalls, from low adherence to biopsy sampling recommendations and reporting of results, to significant inter-observer variability. A quantitative, computer-assisted histological assessment of mucosal biopsies could overcome many of the current limitations of conventional histology. We herein discuss the current evidence on artificial intelligence-based histology in CD diagnosis and its role in improving histological measurements in CD.
Publish Date 2020-07-27 09:30
Citation Balaban DV, Jinga M. Digital histology in celiac disease: A practice changer. Artif Intell Gastroenterol 2020; 1(1): 1-4
Url https://www.wjgnet.com/2644-3236/full/v1/i1/1.htm
DOI https://dx.doi.org/10.35712/aig.v1.i1.1
Full Article (PDF) AIG-1-1.pdf
Full Article (Word) AIG-1-1.docx
Manuscript File 57994-Review-Filipodia.docx
Answering Reviewers 57994-Answering reviewers.pdf
Audio Core Tip 57994-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 57994-Conflict-of-interest statement.pdf
Copyright License Agreement 57994-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 57994-Language certificate.pdf
Peer-review Report 57994-Peer-review(s).pdf
Scientific Misconduct Check 57994-Scientific misconduct check.pdf
Scientific Editor Work List 57994-Scientific editor work list.pdf