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The ACPGBI AI taskforce report: A mixed‐methods roadmap for AI in colorectal surgery

Kinross, James M
; 
Lam, Kyle
; 
Yiu, Andrew
; 
Adams, Katie
; 
Altaf, Kiran
; 
Burns, Elaine
; 
Duffourc, Mindy
; 
Eardley, Nicola
; 
Evans, Charles
; 
Giannarou, Stamatia
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Affiliation
Imperial College London; Guy's and St Thomas' NHS Foundation Trust; Liverpool University Hospitals NHS Foundation Trust; St Mark's - The National Bowel Hospital; Maastricht University; University of Chester; University Hospitals Coventry and Warwickshire NHS Trust; Manchester University NHS Foundation Trust; University College London; NHS Forth Valley; Royal Alexandra Hospital, Paisley; Golden Jubilee University National Hospital; Dartford and Gravesham NHS Trust; King's College London; University of Edinburgh; University of Glasgow; University of Leeds; Osborne Clarke LLP; University of Liverpool; Cambridge University Hospitals NHS Foundation Trust
EPub Date
Publication Date
2025-09-16
Submitted Date
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Chester Medical School
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Abstract
Aim: The ACPGBI has commissioned a taskforce to devise a strategy for integrating artificial intelligence (AI) into colorectal surgery. This report aims to (i) map current AI adoption amongst UK colorectal surgeons; (ii) evaluate knowledge, attitudes, perceptions and experience of AI technologies; and (iii) establish priority recommendations to drive innovation across the specialty. Methods: A prospective 45‐item questionnaire was circulated to the ACPGBI membership. Questionnaire findings were explored at a multidisciplinary round table of surgeons, allied professionals, computer scientists and lawyers. Strategic recommendations were then generated. Results: 122 members responded (75.4% consultants; 72.1% male; modal age 41–50 years). Although 43.5% used AI daily, only one third said they could explain key concepts within AI. 86.9% anticipated routine future‐AI use, with documentation and imaging ranked highest. 88.5% endorsed formal AI training. Major obstacles were unclear regulation, cost, medicolegal liability and professional or patient distrust. The round table generated 17 recommendations across clinical, educational and research domains and a ten‐point action plan, including the establishment of a Colorectal AI Committee and the creation of an open‐source colorectal foundational data initiative. Conclusion: This taskforce report combines questionnaire insights from the ACPGBI membership and expert debate into 17 key recommendations and a ten‐point action plan that will set the direction of future colorectal AI practice. The objective is to establish a framework through which colorectal surgical practice can be augmented by safe, trustworthy AI.
Citation
Kinross, J. M., Lam, K., Yiu, A., Adams, K., Altaf, K., Burns, E., Duffourc, M., Eardley, N., Evans, C., Giannarou, S., Hancock, L., Hu, V., Javed, A., Khare, S., Mazomenos, E., McGeever, L., Moug, S., Nastro, P., Ourselin, S., ... Davies, J. (2025). The ACPGBI AI taskforce report: A mixed-methods roadmap for AI in colorectal surgery. Colorectal Disease, 27(9), article-number e70232. https://doi.org/10.1111/codi.70232
Publisher
Wiley
Journal
Colorectal Disease
Research Unit
URI
http://hdl.handle.net/10034/629637
DOI
10.1111/codi.70232
PubMed ID
PubMed Central ID
Type
Article
Language
en
Description
© 2025 The Author(s). Colorectal Disease published by John Wiley & Sons Ltd on behalf of Association of Coloproctology of Great Britain and Ireland.
Series/Report no.
ISSN
1462-8910
EISSN
1463-1318
ISBN
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Unfunded
Additional Links
https://onlinelibrary.wiley.com/doi/10.1111/codi.70232
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