O29 Expected value of AI-assisted polyp detection, sizing and characterisation by non-expert endosco...
O29 Expected value of AI-assisted polyp detection, sizing and characterisation by non-expert endoscopists, a prospective multicentre international trial
About this item
Full title
Author / Creator
Abdelrahim, Mohamed , Mohammed, Salma , Takoh, K , Okuno, T , Goda, S , Hein Htet , Hamson, Joe , Aslam, Shahila , Siggens, Katie , Tanasescu, Andrea , Nair, S , Elias, Mary , Salviato, Antonio , Parra-Blanco, Adolfo , Ishaq, Sauid , Antonelli, G , Fraile-López, Miguel , Spadaccini, Marco , Subramaniam, Sharmila , Longcroft-Wheaton, Gaius , Alkandari, Asma , Hassan, Cesare , Repici, Alessandro and Bhandari, Pradeep
Publisher
London: BMJ Publishing Group LTD
Journal title
Language
English
Formats
Publication information
Publisher
London: BMJ Publishing Group LTD
Subjects
More information
Scope and Contents
Contents
IntroductionWe aimed to study the impact of a novel AI system on non-expert endoscopists detection, characterisation and sizing of colorectal polyps compared to experts in view of the recent ESGE position statement on the expected value of AI in GI endoscopy.MethodsProspectively collected endoscopy videos from 12 centres in Europe and Japan were up...
Alternative Titles
Full title
O29 Expected value of AI-assisted polyp detection, sizing and characterisation by non-expert endoscopists, a prospective multicentre international trial
Authors, Artists and Contributors
Author / Creator
Mohammed, Salma
Takoh, K
Okuno, T
Goda, S
Hein Htet
Hamson, Joe
Aslam, Shahila
Siggens, Katie
Tanasescu, Andrea
Nair, S
Elias, Mary
Salviato, Antonio
Parra-Blanco, Adolfo
Ishaq, Sauid
Antonelli, G
Fraile-López, Miguel
Spadaccini, Marco
Subramaniam, Sharmila
Longcroft-Wheaton, Gaius
Alkandari, Asma
Hassan, Cesare
Repici, Alessandro
Bhandari, Pradeep
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2828888173
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2828888173
Other Identifiers
ISSN
0017-5749
E-ISSN
1468-3288
DOI
10.1136/gutjnl-2023-BSG.28