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March 18, 2026Intestinal ResearchOpen Access

Prospective evaluation of artificial intelligence-assisted monitoring of the effective withdrawal time on adenoma detection

Thomas Ka Luen Lui Carla Pui-Mei Lam Vivien Wai-Man Tsui Rex Wan‐Hin Hui Elvis Wai-Pan To Loey Lung-Yi Mak Michael Kwan-Lung Ko Kevin Sze-Hang Liu Cynthia Hui Jingjia Liu Xiao Xiao Wai Leuk Leung

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Key Points

The aim is to evaluate how AI-assisted monitoring of withdrawal time affects adenoma detection rates.
Prospective evaluation of AI-derived effective withdrawal time (EWT) as an indicator.
Comparison of EWT with traditional surveillance withdrawal time (SWT).
Assessment of adenoma detection rate (ADR) as a primary outcome.
EWT served as a stronger predictor of adenoma detection rates than SWT.
Indications show improved quality of mucosal examination thoroughness.

Implication

This evaluation assesses artificial intelligence's impact on adenoma detection rates, indicating improved monitoring strategies.

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Cite This Study

Lui et al. (2026) studied this question.

synapsesocial.com/papers/69be34d16e48c4981c672fc9 https://doi.org/10.5217/ir.2025.00262

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