Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

Leonardo Frazzoni; Giulio Antonelli; Julia Arribas; Diogo Libânio; Alanna Ebigbo; Fons van der Sommen; Albert J. de Groof; Hiromu Fukuda; Masayasu Ohmori; Ryu Ishihara; Lianlian Wu; Honggang Yu; Yuichi Mori; Alessandro Repici; Jacques Bergman; Prateek Sharma; Helmut Messmann; Cesare Hassan; Lorenzo Fuccio; Mário Dinis‐Ribeiro

doi:10.1055/a-1500-3730

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Abstract

We show suboptimal accuracy of endoscopists for the recognition of UGIN even within a framework that included a higher prevalence and disease awareness. Future AI validation studies represent a framework to assess endoscopist competence.

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Frazzoni et al. (2021) studied this question.

synapsesocial.com/papers/69da8d31cd426f8d32a3c3dc https://doi.org/10.1055/a-1500-3730

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Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

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Abstract

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Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

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Abstract

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