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.

Video of Tim Kearns explaining the new Konica Minolta Exa Enterprise imaging system released at RSNA 2024.

Enterprise imaging expands in smaller and midsized hospitals

Smaller health systems are increasingly moving into this realm. Tim Kearns, director of marketing and healthcare IT, Konica Minolta Imaging USA, explains the implications.

 

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

Jessica H. Porembka, MD, FSBI, associate professor, breast imaging division University of Texas Southwestern Medical Center, Dallas, and vice chair of strategy and quality, and quality assurance medical director, Parkland Radiology in Dallas, explains how an ultrasound-first strategy for noncalcified lesions in DBT proves cost-effective.

Ultrasound-first strategy for noncalcified lesions in DBT proves cost-effective

Jessica Porembka, MD, of the breast imaging division at University of Texas Southwestern Medical Center, said an ultrasound-first strategy for these lesions in DBT is cost-effective and improves efficiency. 

Melissa Davis, MD, MBA, Yale University, explains her research into private equity market penetration in radiology.

Concerns about private equity's growing influence in radiology

Melissa Davis, MD, vice chair of medical informatics and associate professor at Yale University’s Department of Radiology and Biomedical Imaging, shares her findings from research on private equity market penetration.

 

Jessica H. Porembka, MD, FSBI, associate professor, breast imaging division University of Texas Southwestern Medical Center, Dallas, and vice chair of strategy and quality, and quality assurance medical director, Parkland Radiology in Dallas, discusses what it means when a radiology report says a patient has an architectural distortion on their mammogram.

What patients need to known about architectural distortion on breast imaging

Radiologist Jessica Porembka, MD, FSBI, an associate professor with the breast imaging division at University of Texas Southwestern Medical Center, explains what it means when a mammography report says a patient has architectural distortion.
 

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Video Christoph Wald explains how the Health AI Challenge help understand how foundational AI models work

ACR partners to create AI foundational model assessment website

Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.

 

Christoph Wald, MD, vice chair of the ACR Board, explains the new ACR Assess-AI national data registry tracks performance of clinical AI algorithms.

ACR Assess-AI national data registry tracks performance of clinical algorithms

Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.

 

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