This article describes an ongoing research project that aims to develop a hybrid AI system
for aiding radiologists in diagnosing prostate cancer. Through our qualitative research
including contextual inquiries and interviews, we analyzed the current workflow and context
of use in German radiology centers. Based on that, we explore the potential benefits and
challenges of using AI for detecting and diagnosing prostate cancer in medical practice in a
hybrid human-AI interaction.