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Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.
Niikura, Ryota; Aoki, Tomonori; Shichijo, Satoki; Yamada, Atsuo; Kawahara, Takuya; Kato, Yusuke; Hirata, Yoshihiro; Hayakawa, Yoku; Suzuki, Nobumi; Ochi, Masanori; Hirasawa, Toshiaki; Tada, Tomohiro; Kawai, Takashi; Koike, Kazuhiko.
Affiliation
  • Niikura R; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Aoki T; Gastroenterological Endoscopy, Tokyo Medical University, Tokyo, Japan.
  • Shichijo S; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Yamada A; Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan.
  • Kawahara T; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Kato Y; Clinical Research Promotion Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Hirata Y; AI Medical Service Inc., Tokyo, Japan.
  • Hayakawa Y; Division of Advanced Genome Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Suzuki N; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Ochi M; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Hirasawa T; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Japan.
  • Tada T; Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kawai T; AI Medical Service Inc., Tokyo, Japan.
  • Koike K; Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Endoscopy ; 54(8): 780-784, 2022 08.
Article in En | MEDLINE | ID: mdl-34607377
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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: Endoscopy Year: 2022 Type: Article Affiliation country: Japan
Fulltext
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PubMed Links
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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: Endoscopy Year: 2022 Type: Article Affiliation country: Japan