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

dc.contributor.authorCelik, Haluk
dc.contributor.authorCaf, Balim Bengisu
dc.contributor.authorGeyik, Caner
dc.contributor.authorCebi, Gizem
dc.contributor.authorTayfun, Miray
dc.date.accessioned2026-06-27T14:55:19Z
dc.date.issued2024
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
dc.description.sponsorshipNot applicable.
dc.description.urihttps://doi.org/10.1007/s11696-023-03137-z
dc.identifier.doi10.1007/s11696-023-03137-z
dc.identifier.eissn2585-7290
dc.identifier.endpage664
dc.identifier.issn0366-6352
dc.identifier.issue2
dc.identifier.startpage651
dc.identifier.urihttps://hdl.handle.net/20.500.14981/66243
dc.identifier.volume78
dc.identifier.wos001090910300002
dc.language.isoeng
dc.publisherSPRINGER INT PUBL AG
dc.relation.ispartofCHEMICAL PAPERS
dc.subjectUrine analysis
dc.subjectUrinary biomarkers
dc.subjectMinerals
dc.subjectDietary intake
dc.subjectSmartphone-based
dc.subjectAt-home test
dc.subjectCONVOLUTIONAL NEURAL-NETWORKS
dc.subjectURINE SAMPLES
dc.subjectBIOMARKERS
dc.subjectSODIUM
dc.subjectCALCIUM
dc.subjectGLUCOSE
dc.subjectACID
dc.subjectPOTASSIUM
dc.subjectEXCRETION
dc.subjectPROFILES
dc.subjectChemistry
dc.titleEnhancing urinalysis with smartphone and AI: a comprehensive review of point-of-care urinalysis and nutritional advice
dc.typeReview
dspace.entity.typePublication
local.import.sourceWOS

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