| 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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| Permissions |
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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 |
|
| 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 |
