Artificial Intelligence Makes Gains in Radiology

The widespread, deeply integrated use of artificial intelligence (AI) tools throughout all of radiology is still years--perhaps decades--away. But, the initial steps to using this technology are already in place. According to neuroradiology leaders at this year's American Society of Neuroradiology annual meeting in Vancouver, both patients and providers are already experiencing positive impacts even if the technology still has a way to go. "Convolutional neural networks (CNN) are not quite ready for prime time at this point," says Michael Lev, MD, director of emergency radiology and emergency neuroradiology at Massachusetts General Hospital. "It will not replace, but supplement radiology jobs. It will be a tool that radiologists will use for niche applications that can be done for certain detections."