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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
DDW 2022
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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