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Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use
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 magn...
Autores principales: | 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, Tada, Tomohiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035159/ https://www.ncbi.nlm.nih.gov/pubmed/35461350 http://dx.doi.org/10.1038/s41598-022-10739-2 |
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