EDITORIALArtificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps Hype, Hope, or HelpCho, Bum-Joo MD, PhD1,2; Bang, Chang Seok MD, PhD2,3,4Author Information 1Department of Ophthalmology, Hallym University College of Medicine, Chuncheon, Korea; 2Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Korea; 3Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea; 4Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Korea. Correspondence: Chang Seok Bang, MD, PhD. E-mail: email@example.com. Received October 10, 2019 Accepted November 08, 2019 Online date: November 26, 2019 The American Journal of Gastroenterology: January 2020 - Volume 115 - Issue 1 - p 70-72 doi: 10.14309/ajg.0000000000000476 Buy Metrics Abstract Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperplastic polyps. Resecting all the diminutive polyps is not cost-effective. Therefore, gastroenterologists have proposed optical diagnosis using image-enhanced endoscopy for polyp characterization. These technologies have achieved favorable outcomes, but are not widely available. Artificial intelligence has been used in clinical medicine to classify lesions. Here, artificial intelligence technology for the characterization of colorectal polyps is discussed in a decision-making context regarding diminutive colorectal polyps. © The American College of Gastroenterology 2020. All Rights Reserved.