Endoscopy, Table of Contents Endoscopy 2021; 53(12): 1227-1228DOI: 10.1055/a-1408-3489 Editorial Artificial intelligence for polyp characterization: a challenging road aheadReferring to van der Zander QEW et al. p. 1219–1226Authors Author Affiliations Emanuele Rondonotti Gastroenterology Unit, Valduce Hospital, Como, Italy Recommend Article Abstract Buy Article(opens in new window) Refers to:Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosisEndoscopy 2021; 53(12): 1219-1226DOI: 10.1055/a-1343-1597 Full Text References References 1 Dayyeh BKA, Thosani N. et al. ASGE Technology Committee. ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps. Gastrointest Endosc 2015; 81: 502e1-502e16 2 Hewett DG, Kaltenbach T, Sano Y. et al. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology 2012; 143: 599-607 3 Bisschop R, Hassan C, Bhandari P. et al. BASIC (BLI Adenoma Serrated International Classification) classification for colorectal polyp characterization with blue light imaging. Endoscopy 2018; 50: 211-220 4 Bisschops R, East JE, Hassan C. et al. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019. Endoscopy 2019; 51: C6 5 Rees CJ, Rajasekhar PT, Wilson A. et al. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut 2017; 66: 887-895 6 van der Zander QEW, Schreuder RM, Fonollà R. et al. Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis. Endoscopy 2021; 53: 1219-1226 7 Mori Y, Kudo SE, Misawa M. et al. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy. Ann Intern Med 2018; 169: 357-366