Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial

BACKGROUND: In colonoscopy screening for colorectal cancer, human vision limitations may lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been demonstrated to improve polyp detection. However, there still lacks direct evidence to demonstrate whether AI is superior to...

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Detalles Bibliográficos
Autores principales: Wang, Pu, Liu, Xiao-Gang, Kang, Min, Peng, Xue, Shu, Mei-Ling, Zhou, Guan-Yu, Liu, Pei-Xi, Xiong, Fei, Deng, Ming-Ming, Xia, Hong-Fen, Li, Jian-Jun, Long, Xiao-Qi, Song, Yan, Li, Liang-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850273/
https://www.ncbi.nlm.nih.gov/pubmed/36686571
http://dx.doi.org/10.1093/gastro/goac081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850273/
https://www.ncbi.nlm.nih.gov/pubmed/36686571
http://dx.doi.org/10.1093/gastro/goac081

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