Over the years, AI has been gradually integrated into radiology in several different ways and is no doubt a hotly discussed topic today. It is a valuable tool that, when combined with the human expertise of radiologists and clinicians, offers vast potential to the healthcare industry and could revolutionize clinical workflows. In the long term, with AI-assisted image analysis improving by the day, radiology as we traditionally know it will cease to exist. This doesn’t mean it will go away, instead it will be significantly different, and at the same time more important than ever. It will help to center and integrate data from various sources (e.g., Pathology, Lab, Genetics, Imaging) in order to best navigate and stratify patients for their personalized therapy. Therefore, AI will not replace radiologists, rather help them become more accurate and efficient.