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Artificial Intelligence (AI) has the potential to revolutionize the clinical workflow for Prostate Cancer (PCa). AI can be used to automate diagnosis, determine the Gleason score from digitized pathology slides, accelerate radiation therapy workflow, synthesize data from different modalities, and improve prognostic and predictive frameworks. AI is a term coined by Turing in 1950 and refers to the ability of machines to exhibit human intelligence. Machine learning is a process leading to AI, and it is used to learn representations and recognize patterns from training data. AI approaches have been used in medicine to empower clinicians with improved decision-making capacity.