Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	90574
Country	Netherlands

Received	2023-12-07 11:07
Peer-Review Started	2023-12-07 11:07
First Decision by Editorial Office Director	2023-12-29 06:54
Return for Revision	2023-12-29 06:54
Revised	2024-01-11 08:55
Publication Fee Transferred
Second Decision by Editor	2024-02-02 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2024-02-02 06:29
Articles in Press	2024-02-02 06:29
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-02-19 08:40
Publish the Manuscript Online	2024-02-20 09:40

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/
Copyright	©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Gastroenterology & Hepatology
Manuscript Type	Prospective Study
Article Title	Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems
Manuscript Source	Unsolicited Manuscript
All Author List	Quirine Eunice Wennie van der Zander, Ramon M Schreuder, Ayla Thijssen, Carolus H J Kusters, Nikoo Dehghani, Thom Scheeve, Bjorn Winkens, Mirjam C M van der Ende - van Loon, Peter H N de With, Fons van der Sommen, Ad A M Masclee and Erik J Schoon
ORCID	Author(s) ORCID Number Quirine Eunice Wennie van der Zander http://orcid.org/0000-0002-8640-5521 Ramon M Schreuder http://orcid.org/0000-0002-0400-7387 Ayla Thijssen http://orcid.org/0000-0002-4488-4333 Carolus H J Kusters http://orcid.org/0009-0004-3114-3888 Nikoo Dehghani http://orcid.org/0009-0008-7225-3118 Thom Scheeve http://orcid.org/0000-0002-8288-0368 Bjorn Winkens http://orcid.org/0000-0002-6747-6228 Mirjam C M van der Ende - van Loon http://orcid.org/0000-0003-3403-3524 Peter H N de With http://orcid.org/0000-0002-7639-7716 Fons van der Sommen http://orcid.org/0000-0002-3593-2356 Ad A M Masclee http://orcid.org/0000-0001-5819-0116 Erik J Schoon http://orcid.org/0000-0003-4515-1235
Funding Agency and Grant Number	Funding Agency Grant Number Dutch Cancer Society 12639
Corresponding Author	Quirine Eunice Wennie van der Zander, MD, MSc, Researcher, Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Postbus 5800, Maastricht 6202 AZ , Netherlands. q.vanderzander@maastrichtuniversity.nl
Key Words	Artificial intelligence; Colorectal polyp characterization; Computer aided diagnosis; Diminutive colorectal polyps; Optical diagnosis; Self-critical artificial intelligence
Core Tip	In this study, two computer-aided diagnosis system (CADx) [Artificial intelligence for ColoRectal polyps (AI4CRP) and CAD EYE] were compared head-to-head and showed that real-time use was feasible in clinical practice, but does not yet meet quality standard for optical diagnosis. AI4CRP provided characterizations accompanied by confidence values, enabling self-critical AI4CRP in which low confidence characterizations were excluded. Self-critical AI4CRP resulted in considerably higher diagnostic performances compared to AI4CRP. The AI-assisted endoscopists, optically diagnosing colorectal polyps after reviewing both CADx characterizations, had non-significantly higher diagnostic performances compared to the endoscopist alone (before CADx).
Publish Date	2024-02-20 09:40
Citation	van der Zander QEW, Schreuder RM, Thijssen A, Kusters CHJ, Dehghani N, Scheeve T, Winkens B, van der Ende - van Loon MCM, de With PHN, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems. Artif Intell Gastrointest Endosc 2024; 5(1): 90574
URL	https://www.wjgnet.com/2689-7164/full/v5/i1/90574.htm
DOI	https://dx.doi.org/10.37126/aige.v5.i1.90574

Full Article (PDF)	AIGE-5-90574-with-cover.pdf
Full Article (Word)	90574.docx
CONSORT 2010 Statement	90574-CONSORT 2010 statement.pdf
Manuscript File	90574_Auto_Edited-LJH-YJP.docx
Answering Reviewers	90574-Answering reviewers.pdf
Audio Core Tip	90574-Audio core tip.mp3
Biostatistics Review Certificate	90574-Biostatistics statement.pdf
Clinical Trial Registration Statement	90574-Clinical trial registration statement.pdf
Conflict-of-Interest Disclosure Form	90574-Conflict-of-interest statement.pdf
Copyright License Agreement	90574-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s)	90574-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	90574-Institutional review board statement.pdf
Supplementary Material	90574-Supplementary material.pdf
Peer-review Report	90574-Peer-review(s).pdf
Scientific Misconduct Check	90574-Bing-Liu JH-2.png
Scientific Misconduct Check	90574-CrossCheck.png
CrossCheck Report	90574-CrossCheck report.pdf