Enhancing urinalysis with smartphone and AI: a comprehensive review of point-of-care urinalysis and nutritional advice

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dc.authoridGeyik, Caner/0000-0002-8382-2186
dc.authoridCELIK, HALUK/0000-0002-2355-7755
dc.authorwosidGeyik, Caner/I-8384-2014
dc.contributor.authorCelik, Haluk
dc.contributor.authorCaf, Balim Bengisu
dc.contributor.authorGeyik, Caner
dc.contributor.authorCebi, Gizem
dc.contributor.authorTayfun, Miray
dc.date.accessioned2024-05-19T14:50:20Z
dc.date.available2024-05-19T14:50:20Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractPoint-of-care diagnostics (POC), including urine test strips, offer several advantages over traditional laboratory-based urine analysis. POC allows us to regulate our nutritional needs. Urine analysis is a common diagnostic and well-being monitoring tool used to evaluate the overall health of an individual. It involves the examination of a sample of urine to detect and measure various substances and markers found in urine, such as proteins, glucose, leukocytes, ketones, and bilirubin, among others. Urine test strips, also known as dipstick tests, are a quick and convenient method of urine analysis that can be performed in conjunction with smartphone and AI-based analyses. These tests use a small strip of paper with chemically-treated reagents that change color when they react with specific substances found in urine. Dietary intake can have a significant impact on the composition of urine, as certain nutrients and compounds are metabolized and excreted through the kidneys. Understanding the effects of dietary intake on urine biomarkers can provide valuable insight into the overall health and nutritional status of individuals. This review explores existing literature to highlight the intersection between strip-based urine analysis, smartphone-based analysis, gold standards, and recent developments in urine analysis.en_US
dc.description.sponsorshipNot applicable.en_US
dc.description.sponsorshipNot applicable.en_US
dc.identifier.doi10.1007/s11696-023-03137-z
dc.identifier.endpage664en_US
dc.identifier.issn0366-6352
dc.identifier.issn2585-7290
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85174692895en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage651en_US
dc.identifier.urihttps://doi.org10.1007/s11696-023-03137-z
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5671
dc.identifier.volume78en_US
dc.identifier.wosWOS:001090910300002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Int Publ Agen_US
dc.relation.ispartofChemical Papersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectUrine Analysisen_US
dc.subjectUrinary Biomarkersen_US
dc.subjectMineralsen_US
dc.subjectDietary Intakeen_US
dc.subjectSmartphone-Baseden_US
dc.subjectAt-Home Testen_US
dc.titleEnhancing urinalysis with smartphone and AI: a comprehensive review of point-of-care urinalysis and nutritional adviceen_US
dc.typeReview Articleen_US

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