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Artificial intelligence and inflammatory bowel disease: practicalities and future prospects

Brooks-Warburton, Johanne; Ashton, James; Dhar, Anjan; Tham, Tony; Allen, Patrick B; Hoque, Sami; Lovat, Laurence B; (2022) Artificial intelligence and inflammatory bowel disease: practicalities and future prospects. Frontline Gastroenterology , 13 (4) pp. 325-331. 10.1136/flgastro-2021-102003. Green open access

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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.

Type: Article
Title: Artificial intelligence and inflammatory bowel disease: practicalities and future prospects
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/flgastro-2021-102003
Publisher version: https://doi.org/10.1136/flgastro-2021-102003
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: IBD clinical, computerised image analysis, endoscopy, genetics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
URI: https://discovery.ucl.ac.uk/id/eprint/10163609
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