The article highlights a growing debate around AI-assisted colonoscopy: while AI consistently improves polyp and adenoma detection rates, much of the improvement comes from finding very small, low-risk lesions whose removal may have limited impact on long-term colorectal cancer outcomes.
Meta-analyses show AI-assisted colonoscopy increases adenoma detection by about 37% and polyp detection by 36%, with some studies reporting gains of up to 50%. However, critics argue that AI disproportionately identifies diminutive polyps (<5 mm), which rarely progress to cancer. As a result, AI may inflate traditional quality metrics such as adenoma detection rate without necessarily reducing interval colorectal cancer rates or improving survival. The article concludes that future research should focus less on detection rates alone and more on whether AI-driven findings translate into meaningful long-term patient outcomes.