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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Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He discusses the need to validate artificial intelligence (AI) algorithms with your own patient population to determine if it is accurate for a specific institutions patients. He also explains how bias can be inadvertently added into a algorithm, and how the AI may take learning shortcuts. #AI

VIDEO: Assessing radiology AI and understanding programatic bias 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

In-house 3D print shops may save time, cut costs, earn end-users’ applause

Surgeons and other interventionalists who tapped an academic radiology department’s 3D printing service to plan and practice upcoming procedures saved almost half an hour per operation over the course of a year. 

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

VIDEO: Overview of radiology AI by Keith Dreyer

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains the state of AI in radiology in 2022. 

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'Scientific misconduct' cited in more than half of retracted radiology publications

Experts assessed a total of 192 retracted publications—a number that the authors of the study conceded appeared to be growing in more recent years. 

Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

VIDEO: Development of AI app stores to enable easier access

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

Notable names in the news: From Butterfly to ViewRay and a few in between

Radiology business developments that broke softly this week but may soon make waves ... 

Siemens headquarters

Maturing partnership between OEM and AI shop yielding MRI advances

Siemens Healthineers has successfully integrated image-reconstruction software developed by a U.S. healthcare AI startup to increase sharpness and decrease noise in MR images captured during fast scanning sequences.

RSNA seeks to improve health equity with launch of new program

The “Building Connections Across the Americas: Addressing Access to Radiology” program will center on developing partnerships to advance health equity initiatives across South, Central and North America.

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