Publication Name	World Journal of Gastroenterology
Manuscript ID	92696
Country	Italy

Received	2024-02-03 12:37
Peer-Review Started	2024-02-03 12:37
To Make the First Decision
Return for Revision	2024-03-07 05:20
Revised	2024-03-09 07:25
Second Decision	2024-04-17 02:30
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-04-17 03:04
Articles in Press	2024-04-17 03:04
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-04-29 16:48
Publish the Manuscript Online	2024-05-11 10:58

ISSN	1007-9327 (print) and 2219-2840 (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	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward
Manuscript Source	Unsolicited Manuscript
All Author List	Silvia Cocca, Giuseppina Pontillo, Giuseppe Grande and Rita Conigliaro
ORCID	Author(s) ORCID Number Silvia Cocca http://orcid.org/0000-0002-0642-8054 Giuseppe Grande http://orcid.org/0000-0003-3907-9740 Rita Conigliaro http://orcid.org/0000-0002-2785-5952
Funding Agency and Grant Number
Corresponding Author	Silvia Cocca, MD, PhD, Doctor, Doctor, Gastroenterology and Endoscopy Unit, Azienda Ospedaliero Universitaria Policlinico di Modena, Via Pietro Giardini 1355, Modena 41121, Italy. silvia.cocca@gmail.com
Key Words	Capsule endoscopy; Small bowel; Artificial intelligence; Bleeding risk; Vascular lesions
Core Tip	The development of artificial intelligence (AI) in capsule endoscopy could simplify physicians tasks by reducing the number of frames that need to be analyzed by the physician. The novel model proposed in the retrospective study by Zhang et al could be able to identify various small bowel lesions and their bleeding risk. More prospective studies are needed to validate this promising AI-model.
Publish Date	2024-05-11 10:58
Citation	<p>Cocca S, Pontillo G, Grande G, Conigliaro R. Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward. <i>World J Gastroenterol</i> 2024; 30(18): 2482-2484</p>
URL	https://www.wjgnet.com/1007-9327/full/v30/i18/2482.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i18.2482

Full Article (PDF)	WJG-30-2482-with-cover.pdf
Manuscript File	92696_Auto_Edited-YJP.docx
Answering Reviewers	92696-Answering reviewers.pdf
Audio Core Tip	92696-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	92696-Conflict-of-interest statement.pdf
Copyright License Agreement	92696-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	92696-Language certificate.pdf
Peer-review Report	92696-Peer-review(s).pdf
Scientific Misconduct Check	92696-Bing-Li L-2.png
Scientific Editor Work List	92696-Scientific editor work list.pdf
CrossCheck Report	92696-CrossCheck.png
CrossCheck Report	92696-CrossCheck report.pdf