Artificial intelligence and colonoscopy: Current status and future perspectives.

Kudo, Shin-Ei; Mori, Yuichi; Misawa, Masashi; Takeda, Kenichi; Kudo, Toyoki; Itoh, Hayato; Oda, Masahiro; Mori, Kensaku

Kudo, Shin-Ei; Mori, Yuichi; Misawa, Masashi; Takeda, Kenichi; Kudo, Toyoki; Itoh, Hayato; Oda, Masahiro; Mori, Kensaku.

Afiliación

Kudo SE; Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Mori Y; Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Misawa M; Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Takeda K; Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Kudo T; Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan.
Itoh H; Graduate School of Informatics, Nagoya University, Aichi, Japan.
Oda M; Graduate School of Informatics, Nagoya University, Aichi, Japan.
Mori K; Graduate School of Informatics, Nagoya University, Aichi, Japan.

Dig Endosc ; 31(4): 363-371, 2019 Jul.

Article en En | MEDLINE | ID: mdl-30624835

Asunto(s)

Inteligencia Artificial; Pólipos del Colon/diagnóstico; Colonoscopía/normas; Neoplasias Colorrectales/diagnóstico; Diagnóstico por Computador/normas; Errores Diagnósticos/prevención & control; Predicción; Humanos; Mejoramiento de la Calidad

Palabras clave

automated; characterization; colon; detection

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Colorrectales / Pólipos del Colon / Diagnóstico por Computador / Colonoscopía Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Dig Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Japón

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