Radiological Society of North America (RSNA)

The Radiological Society of North America (RSNA) is a non-profit organization that represents 31 radiologic subspecialties from 145 countries around the world. We provide high-quality educational resources, including continuing education credits toward physicians’ certification maintenance, host the world’s largest radiology conference and publish five top peer-reviewed journals.

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Radiology Partners shares advocacy lessons after big win, with eye toward next legislative battle

"Be the squeaky wheel. This issue was taken care of because physicians stood up,” Rad Partners' Richard Heller, MD, told RSNA attendees. 

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Nuance launches ‘Precision Imaging Network’ providing AI first reads to relieve overburdened docs

The platform runs on Azure, a cloud computing service operated by Microsoft, which recently announced plans to acquire Nuance for $20B. 

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COVID-19 infection in pregnant mothers does not harm developing fetuses’ brains

Radiology experts analyzed fetal MRIs from 33 women who contracted the virus while bearing a child, sharing their results at RSNA21. 

RSNA21: Referring providers receive radiology reports 35 minutes faster under structured framework

Turnaround time improvements are likely due to the fewer number of edits required from the initial draft to finalized report.

Mary Mahoney, MD

RSNA21: COVID-19 has exacerbated isolation in radiology, but offers clear paths to broaden its reach

Mary Mahoney, MD, explored these themes during her presidential address at RSNA's annual meeting. 

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RSNA21: Patient access to imaging doesn’t overburden radiologists—many see it as key to transparency

In fact, 76% of rads said online access to results did not impact their role at all, according to new data presented at RSNA's annual meeting.

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RSNA 2021 planner: AI educational sessions

Radiology being the medical specialty furthest along with AI, the technology will take the spotlight at sessions, in exhibits and on a pavilion reserved for healthcare AI vendors.

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RSNA announces winners of its brain tumor AI challenge

More than 2,700 participants were tasked with developing AI models capable of completing two different tasks.