Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining.
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| Title: | Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining. |
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| Authors: | Day PL; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Wieczorek MA; Department of Quantitative Health Sciences, Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States., Rokke D; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Lantz E; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Bornhorst JA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Jannetto PJ; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Carter RE; Department of Quantitative Health Sciences, Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States. |
| Source: | Clinical chemistry [Clin Chem] 2026 Apr 02; Vol. 72 (4), pp. 461-466. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9421549 Publication Model: Print Cited Medium: Internet ISSN: 1530-8561 (Electronic) Linking ISSN: 00099147 NLM ISO Abbreviation: Clin Chem Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41627192 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Day+PL%22">Day PL</searchLink>; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Wieczorek+MA%22">Wieczorek MA</searchLink>; Department of Quantitative Health Sciences, Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States.<br /><searchLink fieldCode="AU" term="%22Rokke+D%22">Rokke D</searchLink>; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Lantz+E%22">Lantz E</searchLink>; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Bornhorst+JA%22">Bornhorst JA</searchLink>; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Jannetto+PJ%22">Jannetto PJ</searchLink>; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.<br /><searchLink fieldCode="AU" term="%22Carter+RE%22">Carter RE</searchLink>; Department of Quantitative Health Sciences, Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229421549%22">Clinical chemistry</searchLink> [Clin Chem] 2026 Apr 02; Vol. 72 (4), pp. 461-466. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9421549 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1530-8561 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200099147%22">00099147 </searchLink><i>NLM ISO Abbreviation: </i>Clin Chem <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41627192 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/clinchem/hvag001 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 461 Titles: – TitleFull: Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Day PL – PersonEntity: Name: NameFull: Wieczorek MA – PersonEntity: Name: NameFull: Rokke D – PersonEntity: Name: NameFull: Lantz E – PersonEntity: Name: NameFull: Bornhorst JA – PersonEntity: Name: NameFull: Jannetto PJ – PersonEntity: Name: NameFull: Carter RE IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 04 Text: 2026 Apr 02 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1530-8561 Numbering: – Type: volume Value: 72 – Type: issue Value: 4 Titles: – TitleFull: Clinical chemistry Type: main |
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