'Artificial intelligence in Barrett's Esophagus'

dc.contributor.authorHamade, Nour
dc.contributor.authorSharma, Prateek
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2024-04-10T08:41:53Z
dc.date.available2024-04-10T08:41:53Z
dc.date.issued2021-10-12
dc.description.abstractDespite advances in endoscopic imaging modalities, there are still significant miss rates of dysplasia and cancer in Barrett's esophagus. Artificial intelligence (AI) is a promising tool that may potentially be a useful adjunct to the endoscopist in detecting subtle dysplasia and cancer. Studies have shown AI systems have a sensitivity of more than 90% and specificity of more than 80% in detecting Barrett's related dysplasia and cancer. Beyond visual detection and diagnosis, AI may also prove to be useful in quality control, streamlining clinical work, documentation, and lessening the administrative load on physicians. Research in this area is advancing at a rapid rate, and as the field expands, regulations and guidelines will need to be put into place to better regulate the growth and use of AI. This review provides an overview of the present and future role of AI in Barrett's esophagus.
dc.eprint.versionFinal published version
dc.identifier.citationHamade N, Sharma P. 'Artificial intelligence in Barrett's Esophagus'. Ther Adv Gastrointest Endosc. 2021;14:26317745211049964. Published 2021 Oct 12. doi:10.1177/26317745211049964
dc.identifier.urihttps://hdl.handle.net/1805/39851
dc.language.isoen_US
dc.publisherSage
dc.relation.isversionof10.1177/26317745211049964
dc.relation.journalTherapeutic Advances in Gastrointestinal Endoscopy
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourcePMC
dc.subjectEndoscopy
dc.subjectEsophagus
dc.subjectImaging
dc.subjectPre-cancerous
dc.subjectTechnology
dc.title'Artificial intelligence in Barrett's Esophagus'
dc.typeArticle
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