A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial

INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy quality, we constructed an endoscopic audit and feedback system named Endo.Adm and evaluated its effect in a form of pretest and posttest trial. METHODS: Endo.Adm system was developed using Python and De...

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Detalles Bibliográficos
Autores principales: Yao, Liwen, Liu, Jun, Wu, Lianlian, Zhang, Lihui, Hu, Xiao, Liu, Jinzhu, Lu, Zihua, Gong, Dexin, An, Ping, Zhang, Jun, Hu, Guiying, Chen, Di, Luo, Renquan, Hu, Shan, Yang, Yanning, Yu, Honggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208417/
https://www.ncbi.nlm.nih.gov/pubmed/34128480
http://dx.doi.org/10.14309/ctg.0000000000000366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208417/
https://www.ncbi.nlm.nih.gov/pubmed/34128480
http://dx.doi.org/10.14309/ctg.0000000000000366

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