COMPUTER-ASSISTED DETECTION VERSUS CONVENTIONAL COLONOSCOPY ON DETECTION AND MISS RATES OF PROXIMAL COLONIC LESIONS: A MULTI-CENTRE, RANDOMIZED, TANDEM COLONOSCOPY STUDY

Thomas Ka Luen Lui  ¹     Hang Dao  ²     Stephen, Kin Kwok Tsao  ³     Carla Lam  ¹     Loey L. Y. Mak  ¹     Michael K. L. Ko  ¹     Michael Ka Shing Cheung  ¹     Mann Yie Thian  ³     Raymond Liang  ³     Vivien Wai Man Tsui  ¹     Long Van Dao  ⁴     Wai Keung Leung  ^1    
1 University of Hong Kong, Hong Kong, Hong Kong, China (SAR)
² Hanoi Medical University, Hanoi, Viet Nam
³ Tan Tock Seng Hospital, Singapore, Singapore
⁴ Institute of Gastroenterology and Hepatology, Ha Noi, Viet Nam

Pathway
Digestive Oncology, Endoscopy, Histopathology

Session
Artificial Intelligence for colonoscopy

Conference
UEG Week 2022

Citation
United European Gastroenterology Journal 2022; 10 (Supplement 8)