Will machines decipher colonoscopy quality from endoscopists' notes?

Pilonis, Nastazja D; Kaminski, Michal F

Pilonis, Nastazja D; Kaminski, Michal F.

Afiliación

Pilonis ND; Departments of Cancer Prevention and Oncological Gastroenterology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland; Department of Gastroenterology, Hepatology, and Oncology, Medical Center for Postgraduate Education, Warsaw, Poland; MRC Cancer Unit, University of Cambridge, Cambridge, United Kingdom.
Kaminski MF; Departments of Cancer Prevention and Oncological Gastroenterology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland; Department of Gastroenterology, Hepatology, and Oncology, Medical Center for Postgraduate Education, Warsaw, Poland; Institute of Health and Society, University of Oslo, Oslo, Norway.

Gastrointest Endosc ; 93(3): 758-760, 2021 03.

Article en En | MEDLINE | ID: mdl-33583525

Asunto(s)

Neoplasias Colorrectales; Procesamiento de Lenguaje Natural; Colonoscopía; Humanos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Neoplasias Colorrectales Límite: Humans Idioma: En Revista: Gastrointest Endosc Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google