Utility of an artificial intelligence system for classification of esophageal lesions when simulatin...
Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use
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Author / Creator
Tajiri, Ayaka , Ishihara, Ryu , Kato, Yusuke , Inoue, Takahiro , Matsueda, Katsunori , Miyake, Muneaki , Waki, Kotaro , Shimamoto, Yusaku , Fukuda, Hiromu , Matsuura, Noriko , Egawa, Satoshi , Yamaguchi, Shinjiro , Ogiyama, Hideharu , Ogiso, Kiyoshi , Nishida, Tsutomu , Aoi, Kenji and Tada, Tomohiro
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
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 both magnified and non-magnified videos, while AI systems o...
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Full title
Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use
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TN_cdi_doaj_primary_oai_doaj_org_article_6a23111360f24c94846ad4082e7953ed
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a23111360f24c94846ad4082e7953ed
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-10739-2
