“The RSNA will maintain our position as the great convener for all those who interact with our members to advance the fields of diagnostic radiology, interventional radiology, radiation oncology and medical physics," Mauro said.

Curtis P. Langlotz, MD, PhD, director of Stanford University's Center for Artificial Intelligence in Medicine and Imaging, will step into the new role. 

Linda Moy, MD, the first female editor of Radiology, said that artificial intelligence can help address a multitude of issues today’s radiologists face, but obstacles do remain. 

Ahead of RSNA 2022 in Chicago, Charles E. Kahn, Jr., MD, MS, spoke with Radiology Business about how AI is being used by radiologists—and how that may evolve in the years ahead.

The team will share its findings, based on imaging data from more than 5,000 pediatric patients, at RSNA 2022 in Chicago. 

Also worth a look: the ACR Data Science Institute’s AI Central, updated this week with detailed information on imaging AI products that have been cleared by the FDA.

In a new analysis, scheduled to be presented at RSNA 2022 in Chicago, researchers have identified enlarged perivascular spaces in the brains of migraine patients. This may be suggestive of waste clearance issues in the central nervous system.

The study's authors explained how MRI results can be used to help identify children with ADHD—and how these findings could be used in the AI algorithms of tomorrow. The team will be presenting its findings at RSNA 2022 in Chicago.