Ontika, NazmunSaßmannshausen, ShereePinatti, Aparecido Fabiano De CarvalhoPipek, Volkmar2023-08-292023-08-2920232510-2591https://dl.eusset.eu/handle/20.500.12015/5020Early detection and diagnosis of prostate cancer are of utmost significance for effective treatment, and artificial intelligence (AI) has the potential to assist radiologists in this area by analyzing medical images and improving diagnostic accuracy, especially given the scarcity of radiologists. This article outlines our ongoing research, focusing on designing a human-centered AI system to aid radiologists in detecting and diagnosing prostate cancer and integrating it into the existing infrastructure. Through qualitative field research involving observations, contextual inquiries, and ...enText/Conference Demo10.48340/ihc2023_pd027