Artificial intelligence is making fast progress in the field of radiology. Clinical adoption of AI by radiologists has gone from none to 30% from 2015 to 2020, according to a study by the American College of Radiology. There are, of course, certain issues that would keep an AI algorithm to be the only entity that reads a scan. First, these algorithms are trained to perform a narrow task such as finding tumors or hemorrhage or fractures. That means they will not identify other things that may be present on a scan. This not only presents a major clinical issue but also legal. It is the responsibility of the radiologist to report on all visible abnormalities on a radiologic study. That means an algorithm can help a radiologist in performing a narrow task like finding a fracture but will miss everything else. That is why a radiologist needs to read the study and be ultimately responsible for the final report.