Artificial intelligence and radiomics

Abstract Medical imaging has been a mainstay of diagnostics and therapeutics over the last 120 years. From the X-rays of the early 1900s to the modern complex functional imaging integrated with Artificial Intelligence, radiology has evolved rapidly and is now central to the discussion of every cancer patient in every multidisciplinary team globally. The detailed analysis of generated images means that radiology is now not only telling clinicians where a cancer is and what stage it is but also informing them about the genetic makeup and likely long-term prognosis of a tumour. The overlap between the roles of the radiologist and the pathologist in the multidisciplinary team is continuing to increase as cancer is being ever microdissected to the molecular level by both specialties.