Facebook says that it will make their AI-MRI algorithm publicly available, so that other researchers who wants to work on the goal of running machines faster and using artificial intelligence to interpret data into images can do so. “The impact of this in a clinic can be tremendous because MRI scanners are expensive and they’re often backed up,” Mazurowski says. There are some potential risks to injecting AI into the process, however. For one, an algorithm could invent an issue that isn’t actually there (an artifact). More importantly, Mazurowski says, the bigger concern is that it could overlook an actual problem, meaning that the radiologist never notices an ACL tear.