Biessmann, Felix

Transparency and trust in artificial intelligence systems

Schmidt, P., Biessmann, F., & Teubner, T. (2020) · Journal of Decision Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 440

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review

Seibert, K., Domhoff, D., Bruch, D., Schulte-Althoff, M., Fürstenau, D., Biessmann, F., & Wolf-Ostermann, K. (2021) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 314

Interactive explainable deep learning model informs prostate cancer diagnosis at MRI

Hamm, C. A., Baumgärtner, G. L., Biessmann, F., Beetz, N. L., Hartenstein, A., Savic, L. J., Froböse, K., Dräger, F., Schallenberg, S., Rudolph, M., et al. (2023) · Radiology

Radiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and Treatment

Cited by 133

Exploring needs and challenges for AI in nursing care-results of an explorative sequential mixed methods study

Seibert, K., Domhoff, D., Fürstenau, D., Biessmann, F., Schulte-Althoff, M., & Wolf-Ostermann, K. (2023) · BMC Digital Health

Artificial Intelligence in Healthcare and EducationSocial Policies and Healthcare Reform

Cited by 38

Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias

Schmidt, P., & Biessmann, F. (2020) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 26