A Systematic Review and Meta-Analysis on Endoscopists’ Accuracy for Detecting Upper Gastrointestinal Neoplasia in Artificial Intelligence Studies: What is the Gold-Standard?
Abstract
Aims Estimates on miss rates for upper gastrointestinal neoplasia (UGIN), i.e. approximately 10 % mainly relies on registry data or old studies. Significant technological breakthroughs and quality parameters have been issued thereafter. We aimed at assessing endoscopists’ accuracy for detecting UGIN within artificial intelligence (AI)...
Paper Details
Title
A Systematic Review and Meta-Analysis on Endoscopists’ Accuracy for Detecting Upper Gastrointestinal Neoplasia in Artificial Intelligence Studies: What is the Gold-Standard?
Published Date
Mar 1, 2021
Journal
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Notes
History