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9/18/2026 3:45:45 AM | Browse: 1 | Download: 0
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Received |
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2026-04-22 02:16 |
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Peer-Review Started |
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2026-04-22 02:18 |
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First Decision by Editorial Office Director |
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2026-05-13 07:01 |
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Return for Revision |
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2026-05-13 07:01 |
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Revised |
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2026-05-19 13:43 |
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Publication Fee Transferred |
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2026-05-24 13:26 |
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Second Decision by Editor |
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2026-06-24 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-24 06:28 |
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Articles in Press |
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2026-06-24 06:28 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-10 10:21 |
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Publish the Manuscript Online |
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2026-09-18 03:45 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 |
Systematic Reviews |
| Article Title |
Artificial intelligence for kinematic (procedural motion) analysis in gastrointestinal endoscopy: A systematic review
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Eun Jeong Gong, Chang Seok Bang and Jae Jun Lee |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Bio and Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) |
No. RS-2023-00223501 |
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| Corresponding Author |
Chang Seok Bang, MD, PhD, Department of Internal Medicine, Hallym University College of Medicine, Sakju-ro 77, Chuncheon 24253, Gangwon-do, South Korea. cloudslove@naver.com |
| Key Words |
Artificial intelligence; Kinematics; Endoscopy; Exposure error; Quality monitoring |
| Core Tip |
Artificial intelligence (AI) in gastrointestinal (GI) endoscopy has been dominated by computer-aided detection (CADe) of lesions – targeting recognition errors – with over 40 randomized controlled trials (RCTs) and multiple regulatory approvals, whereas AI addressing endoscope motion, coverage, and procedural workflow has developed along a separate, largely engineering-focused trajectory. No prior systematic review has mapped the distribution, translational maturity, and certainty of evidence for kinematic AI across GI endoscopy domains. Compared with diagnostic AI, kinematic AI has produced approximately one-fifth the number of RCTs, one-quarter the number of enrolled patients, about one-twelfth the annual publication output, and no standalone regulatory approvals. Only two of eight domains reached moderate GRADE certainty; all eight RCTs were conducted in Chinese centers and six used the ENDOANGEL platform, indicating pronounced geographic and platform concentration. The remaining six domains are at the pre-clinical/engineering stage; the gap with surgical AI is best explained by ecosystem-level factors rather than by technical immaturity alone. The four-arm RCT demonstrated that computer-aided quality and CADe address independent failure modes with additive benefit on adenoma detection rate, supporting integration of kinematic monitoring into existing CADe platforms as the most direct translational pathway. Priority investments include building open kinematic datasets, establishing GI-specific benchmarking challenges analogous to the EndoVis series, conducting colonoscopy three-dimensional coverage RCTs outside China, and defining regulatory pathways for AI that acts on motion rather than on images. |
| Publish Date |
2026-09-18 03:45 |
| Citation |
Gong EJ, Bang CS, Lee JJ. Artificial intelligence for kinematic (procedural motion) analysis in gastrointestinal endoscopy: A systematic review. World J Gastroenterol 2026; 32(41): 122556
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i41/122556.htm |
| DOI |
https://doi.org/10.3748/wjg.122556 |
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