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Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.

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Title: Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.
Authors: Brown KE; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Wrenn JO; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States., Jackson NJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Cauley MR; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Collins BX; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA., Novak LL; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Malin BA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Computer Science, Vanderbilt University, Nashville, TN 37212, United States., Ancker JS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 Mar 01; Vol. 33 (3), pp. 621-631.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
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  Data: Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.
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  Data: <searchLink fieldCode="AU" term="%22Brown+KE%22">Brown KE</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.<br /><searchLink fieldCode="AU" term="%22Wrenn+JO%22">Wrenn JO</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States.<br /><searchLink fieldCode="AU" term="%22Jackson+NJ%22">Jackson NJ</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.<br /><searchLink fieldCode="AU" term="%22Cauley+MR%22">Cauley MR</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.<br /><searchLink fieldCode="AU" term="%22Collins+BX%22">Collins BX</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.<br /><searchLink fieldCode="AU" term="%22Novak+LL%22">Novak LL</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.<br /><searchLink fieldCode="AU" term="%22Malin+BA%22">Malin BA</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Computer Science, Vanderbilt University, Nashville, TN 37212, United States.<br /><searchLink fieldCode="AU" term="%22Ancker+JS%22">Ancker JS</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
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  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2026 Mar 01; Vol. 33 (3), pp. 621-631.
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  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>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE
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        Value: 10.1093/jamia/ocaf235
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      – TitleFull: Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.
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              Text: 2026 Mar 01
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              Y: 2026
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