Publikationen & Media
Aktuelle Publikationen
2024
Cecil, J., Kokje, E., Gaube, S., Lermer, E., & Kleine A.-K. (2024). Einflussfaktoren auf die Nutzung KI-gestützter Technologien in der psychischen Gesundheitsversorgung. In B. Klein, S. Rägle, & S. Klüber (Eds.), Künstliche Intelligenz im Healthcare-Sektor (S. 83-89). Frankfurt University of Applied Sciences. https://doi.org/10.48718/1cw9-3c06
Cecil, J., Lermer, E., Hudecek, M. F., Sauer, J., & Gaube, S. (2024). Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task. Scientific Reports, 14(1), 9736. https://doi.org/10.1038/s41598-024-60220-5
Dingel*, J., Kleine*, A. K., Cecil, J., Sigl, S., Lermer, E. & Gaube, S. (accepted). Predictors of healthcare practitioners' intention to use AI-enabled clinical decision support systems (AI-CDSSs): A meta-analysis based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of Medical Internet Research. https://doi.org/10.2196/57224
*Shared First Authorship
Gaube, S., Biebl, I., Engelmann, M. K. M., Kleine, A. K., & Lermer, E. (2024). Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist. Social Science & Medicine, 116871. https://doi.org/10.1016/j.socscimed.2024.116871
Hudecek, M. F. C., Lermer, E., Gaube, S., Cecil, J., Heiss, S. F., & Batz, F. (2024). Fine for others but not for me: The role of perspective in patients’ perception of artificial intelligence in online medical platforms. Computers in Human Behavior: Artificial Humans, 2(1), 100046. https://doi.org/10.1016/j.chbah.2024.100046
Kleine, A.-K. (2024). Neue methodische Ansätze zur Erforschung von Trends in der KI-gestützten mentalen Gesundheitsversorgung. In B. Klein, S. Rägle, & S. Klüber (Eds.), Künstliche Intelligenz im Healthcare-Sektor (S. 78-81). Frankfurt University of Applied Sciences. https://doi.org/10.48718/1cw9-3c06
Lermer, E., Gaube, S., Cecil, J., Kleine, A.-K., Kokje, E., Frey, D., & Hudecek, M. F. C. (2024). Patient:innen und KI: Eine Frage der Perspektive bei der Bewertung von KI bei medizinischen Online-Diensten. In B. Klein, S. Rägle, & S. Klüber (Eds.), Künstliche Intelligenz im Healthcare-Sektor (S. 74-76). Frankfurt University of Applied Sciences. https://doi.org/10.48718/1cw9-3c06
2023
Hummelsberger, P., Koch, T. K., Rauh, S., Dorn, J., Lermer, E., Raue, M., Hudecek, M. F. C., Schicho, A., Collak, E., Ghassemi, M., & Gaube, S. (2023). Insights on the Current State and Future Outlook of Artificial Intelligence in Healthcare From Expert Interviews. JMIR Preprints. https://doi.org/10.2196/preprints.47353
Kleine, A. K., Lermer, E., Cecil, J., Heinrich, A., & Gaube, S. (2023). Advancing Mental Health Care with AI-Enabled Precision Psychiatry Tools: A Patent Review. PsyArXiv. https://doi.org/10.31234/osf.io/wmr38
Kleine, A. K., Kokje, E., Gaube, S., & Lermer, E. (2023). Attitudes towards the Adoption of two AI-enabled mental health tools among prospective psychotherapists: A cross-sectional study. JMIR Human Factors. https://doi.org/10.31234/osf.io/c8yr3
2021
Gaube, S., Cecil, J., Wagner, S., & Schicho, A. (2021). The relationship between health IT characteristics and organizational variables among German healthcare workers. Scientific Reports, 11, 17752. https://doi.org/10.1038/s41598-021-96851-1
Gaube, S., Suresh, H., Raue, M., Merritt, A., Berkowitz, S. J., Lermer, E., … & Ghassemi, M. (2021). Do as AI say: Susceptibility in deployment of clinical decision-aids. npj Digital Medicine, 4(31). https://doi.org/10.1038/s41746-021-00385-9
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