Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: A prospective randomised controlled study

Gut

Volumn 68, Issue 10, 2019, Pages 1813-1819

  Wang, Pu ^a   Berzin, Tyler M ^b   Glissen Brown, Jeremy Romek ^b   Bharadwaj, Shishira ^b   Becq, Aymeric ^b   Xiao, Xun ^a   Liu, Peixi ^a   Li, Liangping ^a   Song, Yan ^a   Zhang, Di ^a   Li, Yi ^a   Xu, Guangre ^a   Tu, Mengtian ^a   Liu, Xiaogang ^a  

^a SICHUAN PROVINCIAL PEOPLE'S HOSPITAL   (China)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

colonoscopy; colorectal cancer screening; computerised image analysis

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATION; COLON ADENOMA; COLON POLYP; COLONOSCOPY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; COST BENEFIT ANALYSIS; DEEP LEARNING; FALSE POSITIVE RESULT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROSPECTIVE STUDY; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY AND SPECIFICITY; TUMOR LOCALIZATION; TUMOR VOLUME; ADENOMA; CHINA; COLORECTAL TUMOR; EARLY CANCER DIAGNOSIS; FOLLOW UP; INCIDENCE; MIDDLE AGED; PROCEDURES; REPRODUCIBILITY; TIME FACTOR;

ADENOMA; CHINA; COLONIC POLYPS; COLONOSCOPY; COLORECTAL NEOPLASMS; EARLY DETECTION OF CANCER; FEMALE; FOLLOW-UP STUDIES; HUMANS; INCIDENCE; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 85062259477     PISSN: 00175749     EISSN: 14683288     Source Type: Journal    
DOI: 10.1136/gutjnl-2018-317500     Document Type: Article

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