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Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer.
Hirasawa, Toshiaki; Ikenoyama, Yohei; Ishioka, Mitsuaki; Namikawa, Ken; Horiuchi, Yusuke; Nakashima, Hirotaka; Fujisaki, Junko.
Afiliação
  • Hirasawa T; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Ikenoyama Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Ishioka M; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Namikawa K; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Horiuchi Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Nakashima H; Foundation for Detection of Early Gastric Carcinoma, Tokyo, Japan.
  • Fujisaki J; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Dig Endosc ; 33(2): 263-272, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33159692
ABSTRACT
Image recognition using artificial intelligence (AI) has progressed significantly due to innovative technologies such as machine learning and deep learning. In the field of gastric cancer (GC) management, research on AI-based diagnosis such as anatomical classification of endoscopic images, diagnosis of Helicobacter pylori infection, and detection and qualitative diagnosis of GC is being conducted, and an accuracy equivalent to that of physicians has been reported. It is expected that AI will soon be introduced in the field of endoscopic diagnosis and management of gastric cancer as a supportive tool for physicians, thus improving the quality of medical care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Helicobacter pylori / Infecções por Helicobacter Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Dig Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Helicobacter pylori / Infecções por Helicobacter Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Dig Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão