
Emely Rosbach
I am a research assistant at the Technical University of Applied Sciences Ingolstadt, where I also received my Master’s degree in User Experience Design. My current research focuses on understanding how medical professionals interact with AI-based decision support systems in digital pathology and radiology. I am particularly interested in how human cognition, specifically cognitive biases, shapes human-machine collaboration in critical environments such as healthcare.
Publications:
2025
“When Two Wrongs Don’t Make a Right” – Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology Proceedings Article
In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp. 1–18, ACM, Yokohama Japan, 2025, ISBN: 9798400713941.
Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology Book Section
In: Palm, Christoph; Breininger, Katharina; Deserno, Thomas; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Tolxdorff, Thomas M. (Ed.): Bildverarbeitung für die Medizin 2025, pp. 129–134, Springer Fachmedien Wiesbaden, Wiesbaden, 2025, ISBN: 9783658474218 9783658474225.
In: Palm, Christoph; Breininger, Katharina; Deserno, Thomas; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Tolxdorff, Thomas M. (Ed.): Bildverarbeitung für die Medizin 2025, pp. 63–68, Springer Fachmedien Wiesbaden, Wiesbaden, 2025, ISBN: 9783658474218 9783658474225.
2024
Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis Journal Article
In: Scientific Reports, vol. 14, no. 1, pp. 26273, 2024, ISSN: 2045-2322.
Prediction of tumor board procedural recommendations using large language models Journal Article
In: European Archives of Oto-Rhino-Laryngology, 2024, ISSN: 1434-4726.