Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance.

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Bibliographic Details
Title: Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance.
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
Description
DOI:10.1101/2025.06.24.25330212