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,...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-10597-y |