Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use

Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use

Abstract Previous reports have shown favorable performance of artificial intelligence (AI) systems for diagnosing esophageal squamous cell carcinoma (ESCC) compared with endoscopists. However, these findings don’t reflect performance in clinical situations, as endoscopists classify lesions based on...

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Bibliographic Details
Main Authors: Ayaka Tajiri, Ryu Ishihara, Yusuke Kato, Takahiro Inoue, Katsunori Matsueda, Muneaki Miyake, Kotaro Waki, Yusaku Shimamoto, Hiromu Fukuda, Noriko Matsuura, Satoshi Egawa, Shinjiro Yamaguchi, Hideharu Ogiyama, Kiyoshi Ogiso, Tsutomu Nishida, Kenji Aoi, Tomohiro Tada
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-10739-2

Internet

https://doi.org/10.1038/s41598-022-10739-2

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