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.
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