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AI-assisted colonoscopy improves adenoma detection

Presented By
Prof. Joseph Sung, Lee Kong Chian School of Medicine, Singapore
Presented by
Joseph Sung Lee Kong Chian School of Medicine
Conference
DDW 2022
Doi
https://doi.org/10.55788/187f2b86
A study including more than 3,000 participants showed a significantly better adenoma detection rate when colonoscopy was assisted by a self-learning Artificial Intelligence (AI) system. The AI-assisted colonoscopy was superior, independent of the type or location of the adenoma – even in patients with inadequate preparation for the procedure. Prof. Joseph Sung (Lee Kong Chian School of Medicine, Singapore) pointed out in his presentation that AI-assisted colonoscopy has been shown to improve polyp detection and characterisation in colonoscopy [1]. However, data from large-scale, multicentre, randomised-controlled trials (RCTs) are still missing. This was the rationale for a multicentre, single-blind RCT in China including Hong Kong. Recruited participants were randomised (1:1) to receive either AI-assisted or conventional coloscopy. Study participants were asymptomatic, 45–75 years old, and were undergoing colorectal carcinoma (CRC) screening either...


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