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Articles Published Processes
8/4/2026 7:19:47 AM | Browse: 0 | Download: 0
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Received |
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2025-12-08 02:32 |
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Peer-Review Started |
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2025-12-08 02:32 |
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First Decision by Editorial Office Director |
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2026-01-08 09:29 |
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Return for Revision |
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2026-01-08 09:29 |
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Revised |
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2026-01-09 06:39 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-21 02:35 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-21 08:17 |
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Articles in Press |
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2026-01-21 08:17 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-12 14:45 |
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Publish the Manuscript Online |
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2026-08-04 07:19 |
| 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/ |
| Copyright |
The Author(s) 2026. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Editorial |
| Article Title |
AI Morphology and Host Complexity for Precision Prediction of Nodal Metastasis in Colorectal Cancer
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Gang Wang and Sheng-Jie Pan |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Gang Wang, MD, PhD, Professor, Department of General Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou City
Jiangsu Province, China, Suzhou 215006, Jiangsu Province, China. 286651551@qq.com |
| Key Words |
Artificial intelligence; Deep learning; Computational pathology; Multiple instance learning; Colorectal cancer; Lymph node metastasis; Tumor microenvironment; Systemic inflammation; Physiologic complexity; Precision surgical oncology |
| Core Tip |
This Editorial highlights how a case-level multiple instance learning approach can reveal morphologic patterns predictive of lymph node metastasis in colorectal cancer. Yet morphology alone is insufficient. Integrating artificial intelligence–derived histology with systemic host factors—including inflammation, metabolic reserve, autonomic balance, and physiologic complexity—offers a more biologically coherent foundation for risk stratification and precision surgical decision-making. |
| Publish Date |
2026-08-04 07:19 |
| Citation |
Wang G, Pan SJ. AI Morphology and Host Complexity for Precision Prediction of Nodal Metastasis in Colorectal Cancer. World J Gastroenterol 2026; 32(31): 117409
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i31/117409.htm |
| DOI |
https://doi.org/10.3748/wjg.117409 |
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