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Articles Published Processes
10/27/2025 8:08:14 AM | Browse: 243 | Download: 388
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Received |
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2025-06-30 07:53 |
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Peer-Review Started |
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2025-06-30 07:53 |
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First Decision by Editorial Office Director |
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2025-08-01 09:58 |
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Return for Revision |
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2025-08-01 09:58 |
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Revised |
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2025-08-14 11:41 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-09-24 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-09-24 05:19 |
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Articles in Press |
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2025-09-24 05:19 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-21 02:06 |
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Publish the Manuscript Online |
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2025-10-27 08:08 |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Gerontology |
| Manuscript Type |
Review |
| Article Title |
Challenges in clinical translation of artificial intelligence and real-time imaging navigation in radical gastrectomy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu-Run Miao, Yan Wang, Lei Shi, Juan-Tao Lv and Xiao-Jun Yang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Gansu Provincial Natural Science Foundation |
25JRRA304 |
| National Health Commission |
NHCDP2022001 |
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| Corresponding Author |
Xiao-Jun Yang, MD, PhD, Professor, Department of General Surgery, Gansu Provincial Hospital, No. 199 Donggang West Road, Chengguan District, Lanzhou 730000, Gansu Province, China. yangxjmd@aliyun.com |
| Key Words |
Radical gastrectomy; Artificial intelligence; Real-time imaging navigation; Clinical translation; Precision medicine |
| Core Tip |
Artificial-intelligence models now stage gastric tumours with near-radiologist accuracy, while multimodal three-dimensional navigation fuses computed tomography, magnetic resonance imaging, ultrasound and fluorescence data to guide sub-millimeter resections. Integrating these tools into radical gastrectomy reduces margin positivity and tissue trauma, and real-time analytics predict complications and survival, enabling personalised follow-up. We dissect the algorithms, navigation hardware and validation studies underpinning this leap, outline ethical and economic hurdles, and map a translational roadmap that could make data-driven, image-guided gastrectomy the new standard of care. |
| Publish Date |
2025-10-27 08:08 |
| Citation |
Miao YR, Wang Y, Shi L, Lv JT, Yang XJ. Challenges in clinical translation of artificial intelligence and real-time imaging navigation in radical gastrectomy. World J Gastroenterol 2025; 31(40): 111389
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| URL |
https://www.wjgnet.com/1007-9327/full/v31/i40/111389.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i40.111389 |
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