Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance.
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| Title: | Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance. |
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| Authors: | Brown KE; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Wrenn JO; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., Jackson NJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Cauley MR; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Collins B; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Novak LL; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Malin BA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Computer Science, Vanderbilt University, Nashville, Tennessee., Ancker JS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee. |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2025 Jun 24. Date of Electronic Publication: 2025 Jun 24. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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