Abstract
Artificial intelligence (AI)-based clinical decision support systems (CDSS) promise to enhance diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration might introduce automation bias, where users uncritically follow automated cues. This bias may worsen when time pressure strains practitioners’ cognitive resources. We quantified automation bias by measuring the adoption of negative system consultations and examined the role of time pressure in a web-based experiment, where trained pathology experts (n=28) estimated tumor cell percentages. Our results indicate that while AI integration led to a statistically significant increase in overall performance, it also resulted in a 7% automation bias rate, where initially correct evaluations were overturned by erroneous AI advice. Conversely, time pressure did not exacerbate automation bias occurrence, but appeared to increase its severity, evidenced by heightened reliance on the system’s negative consultations and subsequent performance decline. These findings highlight potential risks of AI use in healthcare. The final dataset (including a table with image patch details), participant demographics, and source code are available at: https://github.com/emelyrosbach/AB-TP.git
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1.
Rosbach E, Ganz J, Ammeling J, Riener A, Aubreville M. Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. Bildverarbeitung für die Medizin 2025. 2025:129-134,.
Rosbach, E. ., Ganz, J. ., Ammeling, J. ., Riener, A. ., & Aubreville, M. . (2025). Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. Bildverarbeitung für die Medizin 2025. Wiesbaden: Springer Fachmedien Wiesbaden. (Original work published 2025)
Rosbach, Emely, Jonathan Ganz, Jonas Ammeling, Andreas Riener, und Marc Aubreville. (2025) 2025. „Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology“. Bildverarbeitung für Die Medizin 2025. Wiesbaden: Springer Fachmedien Wiesbaden.
Rosbach, Emely u. a. „Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology“. Bildverarbeitung für die Medizin 2025 2025: 129–134,. Print.
Rosbach, Emely, u. a. „Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology“. 2025. Bildverarbeitung für Die Medizin 2025, Springer Fachmedien Wiesbaden, 2025, S. 129–134.
Details
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Date Published
2025 -
Number of Pages
129-134, -
Publisher
Springer Fachmedien Wiesbaden -
Conference Location
Wiesbaden -
ISBN Number
978-3-658-47422-5