Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	67773
Country	China

Received	2021-05-02 04:04
Peer-Review Started	2021-05-02 04:06
To Make the First Decision
Return for Revision	2021-05-19 21:02
Revised	2021-06-01 16:44
Second Decision	2021-06-18 09:30
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-06-18 11:46
Articles in Press	2021-06-18 11:46
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-06-24 11:25
Typeset the Manuscript	2021-07-05 06:42
Publish the Manuscript Online	2021-07-06 09:59

ISSN	2689-7164 (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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Opinion Review
Article Title	Current situation and prospect of artificial intelligence application in endoscopic diagnosis of Helicobacter pylori infection
Manuscript Source	Invited Manuscript
All Author List	Yi-Fan Lu and Bin Lyu
ORCID	Author(s) ORCID Number Yi-Fan Lu http://orcid.org/0000-0002-3623-1332 Bin Lyu http://orcid.org/0000-0002-6247-571X
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 81770535 National Natural Science Foundation of China 81970470
Corresponding Author	Bin Lyu, MD, Chief Doctor, Professor, Department of Gastroenterology, First Affiliated Hospital of Zhejiang Chinese Medical University, No. 54 Youdian Road, Shangcheng District, Hangzhou 310006, Zhejiang Province, China. lvbin@medmail.com.cn
Key Words	Artificial intelligence; Helicobacter pylori; Endoscopy; Diagnosis; Deep learning; Machine learning
Core Tip	In recent years, artificial intelligence (AI) has been rapidly developed and applied in various fields of medicine, including gastroenterology. We witnessed the promising application of AI in endoscopic diagnosis of Helicobacter pylori infection. In this review, we summarize the advantages of AI, point out the limitations of current studies, and puts forward the direction of future research.
Publish Date	2021-07-06 09:59
Citation	Lu YF, Lyu B. Current situation and prospect of artificial intelligence application in endoscopic diagnosis of Helicobacter pylori infection. Artif Intell Gastrointest Endosc 2021; 2(3): 50-62
URL	https://www.wjgnet.com/2689-7164/full/v2/i3/50.htm
DOI	https://dx.doi.org/10.37126/aige.v2.i3.50

Full Article (PDF)	AIGE-2-50.pdf
Full Article (Word)	AIGE-2-50.docx
Manuscript File	67773_Auto_Edited-JPY_WangTQ.docx
Answering Reviewers	67773-Answering reviewers.pdf
Audio Core Tip	67773-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	67773-Conflict-of-interest statement.pdf
Copyright License Agreement	67773-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	67773-Grant application form(s).pdf
Peer-review Report	67773-Peer-review(s).pdf
Scientific Misconduct Check	67773-Bing-Wang JL-1.jpg
Scientific Misconduct Check	67773-Scientific misconduct check.pdf
Scientific Editor Work List	67773-Scientific editor work list.pdf
CrossCheck Report	67773-CrossCheck report.pdf