Artificial intelligence (AI) is likely to transform medicine, with radiology being one of the first medical fields in which AI can broadly impact clinical practice. Prebiopsy MRI of the prostate has been shown to improve prostate cancer diagnosis.1,2 However, the use of MRI is impeded by its dependence on experienced radiologists and the high inter-radiologist variability in Prostate Imaging Reporting and Data System (PI-RADS) scoring of prostate MRI exams.3,4 Accurate and robust AI algorithms for reading prostate MRI could alleviate these challenges.