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Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective study.
Ishioka, Mitsuaki; Osawa, Hiroyuki; Hirasawa, Toshiaki; Kawachi, Hiroshi; Nakano, Kaoru; Fukushima, Noriyoshi; Sakaguchi, Mio; Tada, Tomohiro; Kato, Yusuke; Shibata, Junichi; Ozawa, Tsuyoshi; Tajiri, Hisao; Fujisaki, Junko.
Affiliation
  • Ishioka M; Department of Gastroenterology, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Osawa H; Division of Gastroenterology, Department of Medicine, Jichi Medical University, Tochigi, Japan.
  • Hirasawa T; Department of Gastroenterology, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kawachi H; Department of Pathology, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Nakano K; Department of Pathology, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Fukushima N; Department of Pathology, Jichi Medical University, Tochigi, Japan.
  • Sakaguchi M; Department of Pathology, Jichi Medical University, Tochigi, Japan.
  • Tada T; AI Medical Service Inc., Tokyo, Japan.
  • Kato Y; Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shibata J; Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Ozawa T; AI Medical Service Inc., Tokyo, Japan.
  • Tajiri H; AI Medical Service Inc., Tokyo, Japan.
  • Fujisaki J; Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
Dig Endosc ; 35(4): 483-491, 2023 May.
Article in En | MEDLINE | ID: mdl-36239483
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Artificial Intelligence Type of study: Diagnostic_studies / Observational_studies Limits: Humans Language: En Journal: Dig Endosc Journal subject: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Year: 2023 Type: Article Affiliation country: Japan
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Artificial Intelligence Type of study: Diagnostic_studies / Observational_studies Limits: Humans Language: En Journal: Dig Endosc Journal subject: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Year: 2023 Type: Article Affiliation country: Japan