Artificial intelligence and inflammatory bowel disease: practicalities and future prospects

Johanne Brooks-Warburton; James Ashton; Anjan Dhar; Tony Tham; Patrick B Allen; Sami Hoque; Laurence B Lovat; Shaji Sebastian

doi:10.1136/flgastro-2021-102003

Artificial intelligence and inflammatory bowel disease: practicalities and future prospects

Frontline Gastroenterol. 2021 Dec 10;13(4):325-331. doi: 10.1136/flgastro-2021-102003. eCollection 2022.

Authors

Johanne Brooks-Warburton^{1

2}, James Ashton³, Anjan Dhar⁴, Tony Tham⁵, Patrick B Allen⁵, Sami Hoque⁶, Laurence B Lovat⁷, Shaji Sebastian^{8

9}

Affiliations

¹ Department of Clinical Pharmacology and Biological Sciences, University of Hertfordshire, Hatfield, UK.
² Gastroenterology Department, Lister Hospital, Stevenage, UK.
³ Paediatric Gastroenterology, Southampton University Hospitals NHS Trust, Southampton, UK.
⁴ Gastroenterology, County Durham & Darlington NHS Foundation Trust, Bishop Auckland, UK.
⁵ Department of Gastroenterology, Ulster Hospital, Dundonald, UK.
⁶ Department of Gastroenterology, Barts Health NHS Trust, London, UK.
⁷ Division of Surgery & Interventional Science, University College London, London, UK.
⁸ Department of Gastroenterology, Hull University Teaching Hospitals NHS Trust, Hull, UK.
⁹ Hull York Medical School, Hull, UK.

Abstract

Artificial intelligence (AI) is an emerging technology predicted to have significant applications in healthcare. This review highlights AI applications that impact the patient journey in inflammatory bowel disease (IBD), from genomics to endoscopic applications in disease classification, stratification and self-monitoring to risk stratification for personalised management. We discuss the practical AI applications currently in use while giving a balanced view of concerns and pitfalls and look to the future with the potential of where AI can provide significant value to the care of the patient with IBD.

Keywords: IBD clinical; computerised image analysis; endoscopy; genetics.