Publication Name	Artificial Intelligence in Cancer
Manuscript ID	127095
DOI	10.35713/aic.127095
Country	Egypt

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence for variant-provenance adjudication in gastrointestinal cancer liquid biopsy: Distinguishing tumor, germline, and clonal hematopoietic signals
Manuscript Source	Unsolicited Manuscript
All Author List	Ahmed Salman
Funding Agency and Grant Number
Corresponding Author	Ahmed Salman, FRACP, FRCP, Department of Internal Medicine, Faculty of Medicine, Cairo University, Al-Saray Street, El Manial, Cairo 11956, Egypt. awea844@gmail.com
Key Words	Artificial intelligence; Liquid biopsy; Gastrointestinal cancer; Clonal hematopoiesis; Variant provenance
Core Tip	A plasma variant is not automatically tumor-derived. This review distinguishes direct per-call provenance evidence from proxy, feature-development, and adjacent detection evidence. Computational models show promise, but gastrointestinal validation and clinical utility remain limited. Figures 1 and 2, the five-stage workflow, and the worked examples are author-proposed, unvalidated conceptual tools, not clinical guidelines. They retain mixed and indeterminate states and use artificial intelligence to prioritize confirmation while preserving matched leukocyte, tumor, and accredited germline testing for consequential decisions.
Citation	Salman A. Artificial intelligence for variant-provenance adjudication in gastrointestinal cancer liquid biopsy: Distinguishing tumor, germline, and clonal hematopoietic signals. Artif Intell Cancer 2026; In press DOI: https://doi.org/10.35713/aic.127095
PDF	127095-in-press.pdf

Received	2026-08-21 03:19
Peer-Review Started	2026-08-21 03:19
First Decision by Editorial Office Director
Return for Revision	2026-09-20 02:33
Revised	2026-09-29 10:16
Publication Fee Transferred
Second Decision by Editor	2026-11-05 02:32
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-11-05 05:15
Articles in Press	2026-11-05 05:15
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3228 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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