Artificial intelligence in colonoscopy: Enhancing quality indicators for optimal patient outcomes

Table 1 Take-home messages for practicing endoscopists based on current guidelines

Society	Current position on AI in colonoscopy
ESGE[16]	Supports CADe use to reduce AMR, provided minimal false positives and no WT prolongation; allows CADx for “leave-in-situ”/“resect and discard”, if accuracy is equivalent to experts. Recommends AI integration to help standardize performance in less experienced endoscopists
BMJ[17]	Recommends against routine CADe use due to concerns over overdiagnosis, minimal clinical benefit, and increased surveillance; recommendation graded as “weak”
AGA[19]	Does not issue a definitive recommendation for or against CADe use, citing uncertainty in long-term outcomes
WEO[20]	Acknowledges CADe/CADx potential but urges cost-effectiveness assessment; highlights the need for high-quality real-world studies across healthcare systems

AI: Artificial intelligence; ESGE: European Society of Gastrointestinal Endoscopy; AGA: American Gastroenterological Association; WEO: World Endoscopy Organization; CADe: Computer-aided detection; AMR: Adenoma miss rate; CADx: Computer-aided diagnosis; WT: Withdrawal time.