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Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

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Rosbach E, Ammeling J, Ganz J, u. a. Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology. Machine Learning for Biomedical Imaging. 2026;3:126-147. doi:https://doi.org/10.59275/j.melba.2026-87b1.
Rosbach, E., Ammeling, J., Ganz, J., Bertram, C. A., Conrad, T., Riener, A., & Aubreville, M. (2026). Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology. Machine Learning for Biomedical Imaging, 3, 126–147. http://doi.org/https://doi.org/10.59275/j.melba.2026-87b1 (Original work published 2026)
Rosbach, Emely, Jonas Ammeling, Jonathan Ganz, Christof A. Bertram, Thomas Conrad, Andreas Riener, und Marc Aubreville. (2026) 2026. „Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology“. Machine Learning for Biomedical Imaging 3: 126-47. doi:https://doi.org/10.59275/j.melba.2026-87b1.
Rosbach, Emely u. a. „Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology“. Machine Learning for Biomedical Imaging 3 (2026): 126–147.
Rosbach, Emely, u. a. „Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology“. 2026. Machine Learning for Biomedical Imaging, Bd. 3, MELBA–BVM 2025 Special Issue, 2026, S. 126–147.

Details

  • Date Published

    mar
  • Volume

    3
  • Number of Pages

    126-147