Effect of artificial intelligence on novice-performed colonoscopy: a multicenter randomized controlled tandem study

The efficacy and safety of colonoscopy performed by artificial intelligence (AI)-assisted novices remain unknown. The aim of this study was to compare the lesion detection capability of novices, AI-assisted novices, and experts. This multicenter, randomized, noninferiority tandem study was conducted...

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Veröffentlicht in:	Gastrointestinal endoscopy 2024-01, Vol.99 (1), p.91-99.e9
Hauptverfasser:	Yao, Liwen, Li, Xun, Wu, Zhifeng, Wang, Jing, Luo, Chaijie, Chen, Boru, Luo, Renquan, Zhang, Lihui, Zhang, Chenxia, Tan, Xia, Lu, Zihua, Zhu, Ci, Huang, Yuan, Tan, Tao, Liu, Zhifeng, Li, Ying, Li, Shuyu, Yu, Honggang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenoma - diagnosis Adenoma - pathology Artificial Intelligence Colonic Polyps - diagnostic imaging Colonoscopy - methods Colorectal Neoplasms - diagnosis Humans Polyps Prospective Studies Research Design
Online-Zugang:	Volltext
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