Artificial intelligence in biliopancreatic endoscopy: Is there any role?

Omer F. Ahmad*, Pauline Stassen, George J. Webster

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

3 Citations (Scopus)
24 Downloads (Pure)


Artificial intelligence (AI) research in endoscopy is being translated at rapid pace with a number of approved devices now available for use in luminal endoscopy. However, the published literature for AI in biliopancreatic endoscopy is predominantly limited to early pre-clinical studies including applications for diagnostic EUS and patient risk stratification. Potential future use cases are highlighted in this manuscript including optical characterisation of strictures during cholangioscopy, prediction of post-ERCP acute pancreatitis and selective biliary duct cannulation difficulty, automated report generation and novel AI-based quality key performance metrics. To realise the full potential of AI and accelerate innovation, it is crucial that robust inter-disciplinary collaborations are formed between biliopancreatic endoscopists and AI researchers.

Original languageEnglish
Article number101724
JournalBest Practice and Research: Clinical Gastroenterology
Publication statusPublished - Jun 2021

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© 2020 Elsevier Ltd


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