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Novel "resect and analysis" approach for T2 colorectal cancer with use of artificial intelligence.
Ichimasa, Katsuro; Nakahara, Kenta; Kudo, Shin-Ei; Misawa, Masashi; Bretthauer, Michael; Shimada, Shoji; Takehara, Yusuke; Mukai, Shunpei; Kouyama, Yuta; Miyachi, Hideyuki; Sawada, Naruhiko; Mori, Kensaku; Ishida, Fumio; Mori, Yuichi.
Afiliação
  • Ichimasa K; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Nakahara K; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Kudo SE; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Misawa M; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Bretthauer M; Clinical Effectiveness Research Group, University of Oslo and Oslo University Hospital, Oslo, Norway.
  • Shimada S; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Takehara Y; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Mukai S; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Kouyama Y; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Miyachi H; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Sawada N; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Mori K; Graduate School of Informatics, Nagoya University, Nagoya, Japan.
  • Ishida F; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Mori Y; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan; Clinical Effectiveness Research Group, University of Oslo and Oslo University Hospital, Oslo, Norway.
Gastrointest Endosc ; 96(4): 665-672.e1, 2022 10.
Article em En | MEDLINE | ID: mdl-35500659

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ressecção Endoscópica de Mucosa Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ressecção Endoscópica de Mucosa Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article