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

  • James M. Kinross
  • , Kyle Lam*
  • , Andrew Yiu
  • , Katie Adams
  • , Kiran Altaf
  • , Elaine Burns
  • , Mindy Duffourc
  • , Nicola Eardley
  • , Charles Evans
  • , Stamatia Giannarou
  • , Laura Hancock
  • , Victoria Hu
  • , Ahsan Javed
  • , Shivank Khare
  • , Evangelos Mazomenos
  • , Linnet McGeever
  • , Susan Moug
  • , Piero Nastro
  • , Sebastien Ourselin
  • , Subramanian Ramamoorthy
  • Campbell Roxburgh, Catherine Simister, Danail Stoyanov, Gregory Thomas, Pietro Valdastri, Marcus Vass, Dale Vimalachandran, Tom Vercauteren, Justin Davies
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Article numbere70232
Pages (from-to)1-15
JournalColorectal Disease
Volume27
Issue number9
DOIs
Publication statusPublished - 1 Sept 2025

Keywords

  • artificial intelligence
  • foundational datasets
  • generative AI
  • implementation strategy
  • machine learning
  • surgical education
  • surgical innovation

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