Despite the infamous 2016 prophecy of deep learning expert Geoffrey Hinton, artificial intelligence has not yet replaced radiologists. And according to new data, it appears as though that prediction is still a long way off, as an AI "candidate" recently failed its mock radiology boards. The candidate's results were published this week in The BMJ and compared alongside 26 radiologists who had recently passed the rapid radiographic reporting component of the Fellowship of the Royal College of Radiologists (FRCR) examination. Out of ten mock exams, the AI candidate passed two, achieving an overall accuracy of 79.5%, suggesting that the candidate is not quite "ready to graduate." "Radiologists in the UK are required to pass the Fellowship of the Royal College of Radiologists (FRCR) examination before their completion of training, which allows them to practice independently as radiology consultants. For artificial intelligence to replace radiologists, ensuring that it too can pass the same examination would seem prudent," corresponding author Susan Cheng Shelmerdine, a consultant pediatric radiologist at the Great Ormond Street Hospital for Children in London, and colleagues suggested.