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Artif Intell Gastrointest Endosc. Jun 8, 2024; 5(2): 90723
Published online Jun 8, 2024. doi: 10.37126/aige.v5.i2.90723
Role of artificial intelligence in colorectal cancer
Gita Lingam, Taner Shakir, Rawen Kader, Manish Chand
Gita Lingam, Department of General Surgery, Princess Alexandra Hospital, Harlow CM20 1QX, United Kingdom
Taner Shakir, Department of Colorectal Surgery, University College London, London W1W 7TY, United Kingdom
Rawen Kader, Department of Gastroenterology, University College London, University College London Hospitals Nhs Foundation Trust, London W1B, United Kingdom
Manish Chand, Gastroenterological Intervention Centre, University College London, London W1W 7TS, United Kingdom
Co-first authors: Gita Lingam and Taner Shakir.
Author contributions: Lingam G, Shakir T and Chand M conceptualised the article; Lingam G and Shakir T developed the methodology and wrote the manuscript; All authors reviewed, edited and approved the final manuscript.
Conflict-of-interest statement: Dr. Rawen Kader receives medical consultancy fees from Odin Vision.
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: Taner Shakir, BSc, MBChB, Research Fellow, Surgeon, Department of Colorectal Surgery, University College London, Charles Bell House, 43-45 Foley St, London W1W 7TY, United Kingdom. taner.shakir.23@ucl.ac.uk
Received: December 12, 2023
Revised: April 10, 2024
Accepted: April 19, 2024
Published online: June 8, 2024
Core Tip

Core Tip: We reviewed the role of artificial intelligence (AI) in colorectal cancer as a whole. Divided into pre-operative, intra-operative and post-operative, we identified a number of adjuncts that can help the clinician. Endoscopic detection and diagnosis are two of the mainstays of AI in this field, however there are a number of other adjuncts that can help surgeons intraoperatively. These include identification of anatomy, and assessment of blood supply. Moreover, post-operative efficiency improvements with histopathological analysis can aid the clinician. Overall, these adjuncts are aimed at augmenting the clinicians experience to improve outcomes.