A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology

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dc.contributor.authorEbigbo, Alanna
dc.contributor.authorPalm, Christoph
dc.contributor.authorProbst, Andreas
dc.contributor.authorMendel, Robert
dc.contributor.authorManzeneder, Johannes
dc.contributor.authorPrinz, Friederike
dc.contributor.authorSouza, Luis A. de
dc.contributor.authorPapa, Joao P. [UNESP]
dc.contributor.authorSiersema, Peter
dc.contributor.authorMessmann, Helmut
dc.contributor.institutionUniv Klinikum Augsburg
dc.contributor.institutionOstbayer TH Regensburg OTH Regensburg
dc.contributor.institutionOTH Regensburg
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionRadboud Univ Nijmegen
dc.date.accessioned2020-12-11T04:54:26Z
dc.date.available2020-12-11T04:54:26Z
dc.date.issued2019-12-01
dc.description.abstractBackground and aim The growing number of publications on the application of artificial intelligence (AI) in medicine underlines the enormous importance and potential of this emerging field of research. In gastrointestinal endoscopy, AI has been applied to all segments of the gastrointestinal tract most importantly in the detection and characterization of colorectal polyps. However, AI research has been published also in the stomach and esophagus for both neoplastic and non-neoplastic disorders. The various technical as well as medical aspects of AI, however, remain confusing especially for non-expert physicians. This physician-engineer co-authored review explains the basic technical aspects of AI and provides a comprehensive overview of recent publications on AI in gastrointestinal endoscopy. Finally, a basic insight is offered into understanding publications on AI in gastrointestinal endoscopy.en
dc.description.affiliationUniv Klinikum Augsburg, Dept Gastroenterol, Augsburg, Germany
dc.description.affiliationOstbayer TH Regensburg OTH Regensburg, Regensburg Med Image Comp ReMIC, Regensburg, Germany
dc.description.affiliationOTH Regensburg, Regensburg Ctr Hlth Sci & Technol, Regensburg, Germany
dc.description.affiliationUniv Fed Sao Carlos, Dept Comp, Sao Carlos, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Comp, Sao Paulo, SP, Brazil
dc.description.affiliationRadboud Univ Nijmegen, Dept Gastroenterol & Hepatol, Med Ctr, Nijmegen, Netherlands
dc.description.affiliationUnespSao Paulo State Univ, Dept Comp, Sao Paulo, SP, Brazil
dc.format.extentE1616-E1623
dc.identifierhttp://dx.doi.org/10.1055/a-1010-5705
dc.identifier.citationEndoscopy International Open. Stuttgart: Georg Thieme Verlag Kg, v. 7, n. 12, p. E1616-E1623, 2019.
dc.identifier.doi10.1055/a-1010-5705
dc.identifier.issn2364-3722
dc.identifier.urihttp://hdl.handle.net/11449/197580
dc.identifier.wosWOS:000501807800006
dc.language.isoeng
dc.publisherGeorg Thieme Verlag Kg
dc.relation.ispartofEndoscopy International Open
dc.sourceWeb of Science
dc.titleA technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminologyen
dc.typeResenha
dcterms.rightsHolderGeorg Thieme Verlag Kg
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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