Leaders with the publicly traded, Los Angeles-based organization discussed the possibility during RadNet’s first quarter earnings call on Monday. 

In 2016, Geoffrey Hinton famously said, “People should stop training radiologists now,” believing it was “completely obvious” AI would outperform human rads within five years. 

Members of the specialty shared their advice in a special report published by the Radiological Society of North America's journal Radiology: Artificial Intelligence. 

Such assistance is increasingly necessary given rising volumes of CCTA scans necessary to assess chest pain—the primary cause of outpatient and ED visits. 

In a nationwide survey of 3,500 patients, those with higher electronic health literacy, educational attainment or of a younger age were “significantly” likelier to see AI as beneficial.

AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing. 

"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says. 

New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.