This letter addresses the recent systematic review and meta-analysis by Wang et al,which evaluated the role of artificial intelligence-based computer-aided de-tection(CADe)in reducing adenoma and polyp miss rates duri...This letter addresses the recent systematic review and meta-analysis by Wang et al,which evaluated the role of artificial intelligence-based computer-aided de-tection(CADe)in reducing adenoma and polyp miss rates during colonoscopy.We commend the authors for highlighting adenoma miss rate(AMR)as a more clinically meaningful endpoint than the traditionally used adenoma detection rate.Their findings demonstrate a significant reduction in AMR and polyp miss rate with CADe-assisted colonoscopy,particularly in small and sessile serrated lesions.However,limitations,including limited study numbers,tandem study design of included studies,and heterogeneity of CADe systems,warrant cautious interpretation.We discuss the broader implications of these findings for real-world practice and future research directions.This letter reinforces the importance of AMR as a performance metric and supports the continued integration and eva-luation of artificial intelligence technologies in endoscopic practice to enhance colorectal cancer prevention strategies.展开更多
文摘This letter addresses the recent systematic review and meta-analysis by Wang et al,which evaluated the role of artificial intelligence-based computer-aided de-tection(CADe)in reducing adenoma and polyp miss rates during colonoscopy.We commend the authors for highlighting adenoma miss rate(AMR)as a more clinically meaningful endpoint than the traditionally used adenoma detection rate.Their findings demonstrate a significant reduction in AMR and polyp miss rate with CADe-assisted colonoscopy,particularly in small and sessile serrated lesions.However,limitations,including limited study numbers,tandem study design of included studies,and heterogeneity of CADe systems,warrant cautious interpretation.We discuss the broader implications of these findings for real-world practice and future research directions.This letter reinforces the importance of AMR as a performance metric and supports the continued integration and eva-luation of artificial intelligence technologies in endoscopic practice to enhance colorectal cancer prevention strategies.
