Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
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Author / Creator
Repici, Alessandro , Spadaccini, Marco , Antonelli, Giulio , Correale, Loredana , Maselli, Roberta , Galtieri, Piera Alessia , Pellegatta, Gaia , Capogreco, Antonio , Milluzzo, Sebastian Manuel , Lollo, Gianluca , Di Paolo, Dhanai , Badalamenti, Matteo , Ferrara, Elisa , Fugazza, Alessandro , Carrara, Silvia , Anderloni, Andrea , Rondonotti, Emanuele , Amato, Arnaldo , De Gottardi, Andrea , Spada, Cristiano , Radaelli, Franco , Savevski, Victor , Wallace, Michael B , Sharma, Prateek , Rösch, Thomas and Hassan, Cesare
Publisher
England: BMJ Publishing Group Ltd and British Society of Gastroenterology
Journal title
Language
English
Formats
Publication information
Publisher
England: BMJ Publishing Group Ltd and British Society of Gastroenterology
Subjects
More information
Scope and Contents
Contents
Background and aimsArtificial intelligence has been shown to increase adenoma detection rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which extent this effect may be related to physician experience is not known. We performed a randomised trial with colonoscopists in their qualification period (AID-2) and compared the...
Alternative Titles
Full title
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Authors, Artists and Contributors
Author / Creator
Spadaccini, Marco
Antonelli, Giulio
Correale, Loredana
Maselli, Roberta
Galtieri, Piera Alessia
Pellegatta, Gaia
Capogreco, Antonio
Milluzzo, Sebastian Manuel
Lollo, Gianluca
Di Paolo, Dhanai
Badalamenti, Matteo
Ferrara, Elisa
Fugazza, Alessandro
Carrara, Silvia
Anderloni, Andrea
Rondonotti, Emanuele
Amato, Arnaldo
De Gottardi, Andrea
Spada, Cristiano
Radaelli, Franco
Savevski, Victor
Wallace, Michael B
Sharma, Prateek
Rösch, Thomas
Hassan, Cesare
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2546977864
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2546977864
Other Identifiers
ISSN
0017-5749
E-ISSN
1468-3288
DOI
10.1136/gutjnl-2021-324471
