Rapid advancement of artificial intelligence (AI) in Radiology is due to increasing availability of datasets, stronger computing power and improved learning algorithms. This area of active investigation already has some algorithms FDA approved for clinical practice. AI can augment radiologists’ workload, thereby improving their efficiency and accuracy. This includes triaging, segmentation, detection and classification of tumor aggressiveness, report generation and prognostication. AI will relieve the radiologists from repetitive mundane tasks and enable her/him to focus on tasks that AI cannot do such as perform image-guided procedures. All this will result in decreased healthcare costs and most importantly improve patient outcomes.