Role of artificial intelligence in colorectal cancer

doi:10.37126/aige.v5.i2.90723

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Jun 8, 2024 (publication date) through Mar 18, 2026

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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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.

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
Processing time: 150 Days and 15.3 Hours

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.