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P185 Artificial intelligence in colonoscopy: real world experience from the southwest endoscopy group
Anderson, Rebecca Materacki, Luke Zeino, Zeino Dharmasiri, Suranga
Anderson, Rebecca
Materacki, Luke
Zeino, Zeino
Dharmasiri, Suranga
Glos Author
Date
2024-07-01
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Subject
Type
Conference Abstract
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Abstract
Introduction Between 2011 and 2013 post-colonoscopy colorectal cancer (PCCRC) rates in NHS England were 6.5%.1Artificial Intelligence (AI) has been shown to improve polyp detection rates (PDR) and reduce miss rates.2 AI-assisted polyp detection systems (AI-PDS) are likely to play a key role if we are to achieve an aspirational PCCRC target of 3.6%. This study looks at real world usability and experience of deployment at 3 NHS Trusts.
Methods Three AI-PDS (A, B & C) were consecutively evaluated at each site for 2 months (site 3 did not assess C). A and B fed into the existing monitor but C had its own screen. Only B required network connection.
At least 3 endoscopists were recruited at each site. Each unit received training prior to evaluation. At the end of each assessment, endoscopists and unit managers completed a survey reviewing usability and deployment experience respectively.
Results Thirty endoscopist surveys and 8 manager surveys were returned. Responses are summarised in table 1
Citation
Anderson, R., Materacki, L., Zeino, Z., & Southwest Endoscopy Group. (2024). Artificial intelligence in colonoscopy: Real world experience from the Southwest Endoscopy Group. Gut, 73(Suppl 1), A162.