COST SAVINGS IN COLONOSCOPY WITH ARTIFICIAL INTELLIGENCE-AIDED POLYP DIAGNOSIS: AN ADD-ON ANALYSIS OF A CLINICAL TRIAL

Yuichi Mori  ¹     Shinei Kudo  ¹     James Edward East  ²     Amit Rastogi  ³     Michael Bretthauer  ⁴     Masashi Misawa  ⁴     Masau Sekiguchi  ⁵     Takahisa Matsuda  ⁵     Yutaka Saito  ⁶     Hiroaki Ikematsu  ⁷     Kinichi Hotta  ⁸     Kazuo Ohtsuka  ⁹     Toyoki Kudo  ⁹     Kensaku Mori  ^10    
1 Showa University Northern Yokohama Hospital, Yokohama, Japan
² John Radcliffe Hospital, Oxford, United Kingdom
³ University of Kansas Medical Center, Kansas, United States
⁴ University of Oslo, Oslo, Norway
⁵ National Cancer Center Hospital, Tokyo, Japan
⁶ National Cancer Center Hospital Endoscopy Division, Tokyo, Japan
⁷ National Cancer Center Hospital East, Kashiwa, Japan
⁸ Shizuoka Cancer Center, Shizuoka, Japan
⁹ Tokyo Medical and Dental University, Tokyo, Japan
¹⁰ Nagoya University, Nagoya, Japan

Session
Will AI change our practice in endoscopy?

Conference
UEG Week Virtual 2020

Citation
United European Gastroenterology Journal 2020; 8 (Supplement 1)