In this talk, we will review the computational methods that are changing how researchers look at data, and which are poised to change how clinicians treat their patients. We will demystify tech ‘buzz words’ like artificial intelligence, machine learning, big data, and computer vision, and discuss why these tools are well-suited for addressing longstanding issues in transplant medicine. Recent translational applications using AI to perform automated analysis of pathology samples will be presented, highlighting the potential of this approach to improve the diagnosis and prediction of allograft rejection and vasculopathy. Lastly, future directions for AI-enabled precision medicine in transplantation will be introduced, followed by audience questions. and answers.