Letter to the Editor
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 14, 2025; 31(30): 108431
Published online Aug 14, 2025. doi: 10.3748/wjg.v31.i30.108431
Integrating inflammation, nutrition, and artificial intelligence: A new era in colorectal cancer prognostic scoring
Semra Demirli Atici, Aras Emre Canda, Mustafa Cem Terzi
Semra Demirli Atici, Aras Emre Canda, Mustafa Cem Terzi, Department of General Surgery, Acibadem Kent Hospital, Izmir 35620, Türkiye
Aras Emre Canda, Mustafa Cem Terzi, KRC Private Center for Colorectal Surgery and Peritoneal Surface Malignancies, Izmir 35220, Türkiye
Author contributions: Demirli Atici S, Canda AE, and Terzi MC wrote the manuscript; Canda AE and Terzi MC reviewed and supervised the manuscript preparation; All authors read and agreed to the published version of the manuscript.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
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/
Corresponding author: Semra Demirli Atici, Department of General Surgery, Acibadem Kent Hospital, Ataşehir, 8229/1. Sk. No. 56, Izmir 35620, Türkiye. smrdemirli@hotmail.com
Received: April 14, 2025
Revised: June 15, 2025
Accepted: July 17, 2025
Published online: August 14, 2025
Processing time: 115 Days and 11.2 Hours
Core Tip

Core Tip: Integrating biomarkers of inflammation and nutrition with artificial intelligence offers a significant advancement in prognostic scoring for colorectal cancer. This approach supports truly personalized treatment strategies by analyzing complex patient data beyond traditional staging and enables more accurate survival prediction. Combining artificial intelligence-driven analysis with a full biomarker profile is a game-changing move towards precision oncology. This method enhances clinical decision-making and paves the way for improved outcomes in the management of colorectal cancer.