Artificial Intelligence–Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial

• Published in: Clinical gastroenterology and hepatology Vol. 21; no. 2; pp. 337 - 346.e3
• Main Authors: Xu, Hong, Tang, Raymond S.Y., Lam, Thomas Y.T., Zhao, Guijun, Lau, James Y.W., Liu, Yunpeng, Wu, Qi, Rong, Long, Xu, Weiran, Li, Xue, Wong, Sunny H., Cai, Shuntian, Wang, Jing, Liu, Guanyi, Ma, Tantan, Liang, Xiong, Mak, Joyce W.Y., Xu, Hongzhi, Yuan, Peng, Cao, Tingting, Li, Fudong, Ye, Zhenshi, Shutian, Zhang, Sung, Joseph J.Y.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2023
• Subjects: Adenoma - diagnosis; Artificial Intelligence; Colonic Polyps - diagnosis; Colonoscopy; Colorectal Cancer Screening; Colorectal Neoplasms - diagnosis; Early Detection of Cancer; Gastroenterology and Hepatology; Humans; Randomized Controlled Trials as Topic; CC; PP; aOR; Artificial Intelligence; AMR; CI; AI; ITT; IQR; SSL; Colorectal Cancer Screening; ADR; FIT; APC; CRC; Colonoscopy; BBPS; BMI; PDR; polyp detection rate; adenoma miss rate; per protocol; interquartile range; adjusted odds ratio; sessile serrated lesion; Boston Bowel Preparation Scale; colorectal cancer; body mass index; fecal immunochemical test; conventional colonoscopy; adenoma detection rate; intention to treat; confidence interval; adenoma per colonoscopy

Artificial intelligence (AI)–assisted colonoscopy improves polyp detection and characterization in colonoscopy. However, data from large-scale multicenter randomized controlled trials (RCT) in an asymptomatic population are lacking. This multicenter RCT aimed to compare AI-assisted colonoscopy with...