对照|Wision A.I.：全球首个医疗AI领域独立外部随机对照试验发表( 二 )

^[4] ，全球首个也是目前唯一的关于AI的双盲随机对照试验^[5] ，全球首个AI的串联交叉随机对照试验^[7]。EndoScreener技术刚面世就获得了世界胃肠病学大会WCOG/美国消化年会ACG的国际奖，欧洲联合消化大会UEG国家学者奖，临床证据在Nature生物医学工程、GUT、Gastroenterology、柳叶刀·胃肠病学、美国胃肠病学，Endoscopy等国际顶尖期刊发表，并推动结肠镜AI辅助检测系统进入欧洲临床推荐指南。去年9月该消化内镜辅助诊断系统获批国家创新医疗器械，目前FDA和欧盟也在同步注册申请中。

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^[1] Jeremy R. Glissen Brown, MD, Nabil M. Mansour, MD, et al. Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A U.S. Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial). Clin Gastroenterol Hepatol. doi: 10.1016/j.cgh.2021.09.009^[2] Kaminski MF, regula J, Kraszewska e, et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med 2010;362:1795–803.^[3] Wang P, Xiao X, Glissen Brown JR, et al. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy. Nat Biomed Eng. 2018;2(10):741-748. doi:10.1038/s41551-018-0301-3^[4] Wang P, Berzin TM, Glissen Brown JR, et al. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomized controlled study. Gut. 2019;68(10):1813-9. Epub 2019/03/01^[5] Wang P, Liu X, Berzin TM, et al. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomized study. Lancet Gastroenterol Hepatol. 2020;5(4):343-51. Epub 2020/01/26^[6] Liu P, Wang P, Glissen Brown JR, et al. The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized study. Therapeutic Advances in Gastroenterology. 2020;13:1756284820979165.^[7] Wang P, Liu P, Glissen Brown JR, et al. Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. Gastroenterology. 2020;159(4):1252-1261.e5. doi:10.1053/j.gastro.2020.06.023
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