Ahmad, OF;
Stassen, P;
Webster, GJ;
(2021)
Artificial intelligence in biliopancreatic endoscopy: Is there any role?
Best Practice & Research Clinical Gastroenterology
, 52-53
, Article 101724. 10.1016/j.bpg.2020.101724.
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Abstract
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.
Type: | Article |
---|---|
Title: | Artificial intelligence in biliopancreatic endoscopy: Is there any role? |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.bpg.2020.101724 |
Publisher version: | https://doi.org/10.1016/j.bpg.2020.101724 |
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: | Artificial intelligence; Machine learning; Endoscopic retrograde cholangiopancreatography; Endoscopic ultrasonography |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10120844 |




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