Peer-Reviewed Publication
Endosc Int Open2021;9(2):E263-E270.February 1, 2021Journal Article
Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device.
Aasma Shaukat1, Daniel Colucci2, Lavi Erisson2, Sloane Phillips2, Jonathan Ng2, Juan Eugenio Iglesias2,3,4,5, John R Saltzman6, Samuel Somers7, William Brugge8
1University of Minnesota - GI, Minneapolis, Minnesota, United States.
2Iterative Scopes, Cambridge, Massachusetts, United States.
3University College London - European Research Council, London, United Kingdom.
4Massachusetts General Hospital - Martinos Center for Biological Imaging, Boston, Massachusetts, United States.
5Massachusetts Institute of Technology - MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, Massachusetts, United States.
6Brigham and Women's Hospital - Gastroenterology, Boston, Massachusetts, United States.
7Concord Hospital - Gastroenterology, Concord, New Hampshire, United States.
8Mount Auburn Hospital - Gastroenterology, Cambridge, Massachusetts, United States.
Abstract
Background and study aims Detecting colorectal neoplasia is the goal of high-quality screening and surveillance colonoscopy, as reflected by high adenoma detection rate (ADR) and adenomas per colonoscopy (APC). The aim of our study was to evaluate the performance of a novel artificial intelligence (AI)-aided polyp detection device, Skout, with the primary endpoints of ADR and APC in routine colon…
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