KE, B., JO, W., NJ, J., MR, C., BX, C., LL, N., . . . JS, A. (2026). Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance. Journal of the American Medical Informatics Association : JAMIA, 33(3), 621. https://doi.org/10.1093/jamia/ocaf235
Chicago Style (17th ed.) CitationKE, Brown, Wrenn JO, Jackson NJ, Cauley MR, Collins BX, Novak LL, Malin BA, and Ancker JS. "Auditor Models to Suppress Poor Artificial Intelligence Predictions Can Improve Human-artificial Intelligence Collaborative Performance." Journal of the American Medical Informatics Association : JAMIA 33, no. 3 (2026): 621. https://doi.org/10.1093/jamia/ocaf235.
MLA (9th ed.) CitationKE, Brown, et al. "Auditor Models to Suppress Poor Artificial Intelligence Predictions Can Improve Human-artificial Intelligence Collaborative Performance." Journal of the American Medical Informatics Association : JAMIA, vol. 33, no. 3, 2026, p. 621, https://doi.org/10.1093/jamia/ocaf235.