Artificial intelligence-based assessments of colonoscopic withdrawal technique: a new method for measuring and enhancing the quality of fold examination

Background  This study aimed to develop an artificial intelligence (AI)-based system for measuring fold examination quality (FEQ) of colonoscopic withdrawal technique. We also examined the relationship between the system’s evaluation of FEQ and FEQ scores from experts, and adenoma detection rate (AD...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Wei, Wu, Yu, Yuan, Xianglei, Zhang, Jingyu, Zhou, Yao, Zhang, Wanhong, Zhu, Peipei, Tao, Zhang, He, Long, Hu, Bing, Yi, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500011/
https://www.ncbi.nlm.nih.gov/pubmed/35391493
http://dx.doi.org/10.1055/a-1799-8297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500011/
https://www.ncbi.nlm.nih.gov/pubmed/35391493
http://dx.doi.org/10.1055/a-1799-8297

Ejemplares similares