Artificial-intelligence-based QUAntification of Size measuremeNts of Adenoma in Routine Endoscopy

Polyp size and count determines the follow-up intervals after colonoscopy. However, relying on the endoscopist’s optical diagnosis for size estimation has shown considerable variability, leading to erroneous surveillance intervals and increased colorectal cancer risk. This study aims to assess the effectiveness of a new polyp size estimation software, called POSEIDON, which uses the tip of the auxiliary water-jet as reference and is implemented together with the EndoMind polyp detection system.