For the past several years, there's been ample publicity about the tremendous impact of artificial intelligence (AI) on radiology, from timesaving efficiencies to resource allocations.1 Of course, patients may not see the backend gears turn as machines pore through behemoth volumes of scans and data for their ultimate benefit, but they do see positive changes on the front-end. And they can see--as much as clinicians or administrators do--that the technology could make a significant and meaningful difference in their lives. Consumers understand the potentially beneficial impact of AI in healthcare; according to a 2018 survey from the analytics company SAS, 6 in 10 consumers felt comfortable with the prospect of their physicians using AI for treatment plans.2 This could be because AI investments made on the back-end yield major care improvements on the patient-facing side of the business.3