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dc.contributor.authorBaniulyte, G.
dc.contributor.authorAli, K.
dc.identifier.citationEvid Based Dent. 2022 Mar;23(1):12-13. doi: 10.1038/s41432-022-0238-y. Epub 2022 Mar 25.
dc.description.abstractData Sources Electronic search on PubMed, Cochrane, Scopus, Embase, Google Scholar, Saudi Digital Library and Web of Science, and hand searching carried out for studies published January 2000-March 2021. Language was restricted to English.Study selection Original research studies involving artificial intelligence technology for oral cancer diagnosis and prognosis prediction were considered. The studies had to provide quantitative data of their evaluation analysis. The exclusion criteria were reported. No limit was set on study design.Data extraction and synthesis The initial search yielded 628 articles. Following deduplication, 340 full-text articles were screened. QUADAS-2 tool was used to assess the quality of the included studies regarding diagnostic accuracy.Results A total of 16 studies were included with various study designs: 14 cross-sectional, one cohort and one retrospective study. Six studies reviewed the diagnosis aspect. All studies indicate an overall positive trend of artificial intelligence technology.Conclusions Artificial intelligence appears to have good accuracy in oral cancer diagnosis and its prediction.
dc.publisherSpringer Nature
dc.rights© 2022. The Author(s), under exclusive licence to the British Dental Association.
dc.titleArtificial intelligence - can it be used to outsmart oral cancer?
dc.typeJournal Article
dc.identifier.journalEvidence-based dentistry
dc.description.noteThe article is available via Open Access. Click on the 'Additional link' above to access the full-text.
dc.description.admin-noteaccepted version (6 months), submitted version

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© 2022. The Author(s), under exclusive licence to the British Dental Association.
Except where otherwise noted, this item's license is described as © 2022. The Author(s), under exclusive licence to the British Dental Association.