Clinical evaluation of a real-time artificial intelligence-based polyp detection system: a US multi-center pilot study

Abstract Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has been significant interest in its use within gastrointestinal endoscopy. Computer-aided detection (CAD) can potentially improve polyp detection rates and decrease miss rates in colonoscopy. However,...

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Bibliographic Details
Main Authors: Susan Y. Quan, Mike T. Wei, Jun Lee, Raja Mohi-Ud-Din, Radman Mostaghim, Ritu Sachdev, David Siegel, Yishai Friedlander, Shai Friedland
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-10597-y