Artificial Intelligence technologies are being used to understand potential differences in prostate cancer tissues between racial populations; cancer tissues manifest differently in black and white patients. This research is revealing the racial bias in AI systems used to diagnose prostate cancer. Algorithmic models are trained on data from majority white populations, which means that prostate cancer diagnosis may not be as effective for black patients. This racial bias in diagnostic algorithms has serious implications for disparities within healthcare.