Abstract
Integration of artificial intelligence increases in all aspects of human life, particularly in healthcare systems. Traumatic brain injury is a significant cause of mortality and long-term disability, with an important impact on the socio-economic system of healthcare. The role of artificial intelligence in imaging and outcome prediction for traumatic brain injury patients is reviewed with a particular emphasis to the characteristics of machine and deep learning methods. Evidence of potential improvement in the clinical practice in discussed.