Radiology Associations

Professional radiology organizations connect imaging professionals across the world, and advocate for radiology policies, regulations, educational updates and technology advancements. These societies include ACR, ASRT, SIIM, RSNA, SNMMI, and many other imaging groups. Find specific news pages for each society at these links: American College of Radiology (ACR)Radiological Society of North America (RSNA)American Roentgen Ray Society (ARRS)American Society Radiologic Technologists (ASRT)Association for Medical Imaging Management (AHRA)Radiology Business Management Association (RBMA)Society for Imaging Informatics in Medicine (SIIM)Society of Breast Imaging (SBI), and the Society of Interventional Radiology (SIR)

Alex Towbin, MD, FAAP, FACR, FSIIM, Society for Imaging Informatics (SIIM) chair-elect, associate chief medical information officer, Department of Radiology at Cincinnati Children's Hospital, and Sylvia Devlin MS, RT, CIIP, FSIIM, SIIM treasurer and director of customer success imaging informatics, Radiology Partners, explain the big IT trends they saw across the vendors at RSNA 2025.

Key radiology IT trends worth watching

In this video interview, Society for Imaging Informatics in Medicine leaders discuss some of the biggest imaging IT trends emerging in 2026. 

Alex Towbin, MD, FAAP, FACR, FSIIM, SIIM chair-elect, radiologist, associate chief medical information officer, associate chief, Department of Radiology, and the Neil D. Johnson Chair of radiology informatics, Cincinnati Children's Hospital, and Sylvia Devlin MS, RT, CIIP, FSIIM, SIIM treasurer and director of customer success imaging informatics, Radiology Partners, explain how SIIM helps make clinician imaging informatics champions.

SIIM offers opportunity for imaging information champions

Education through the organization provides the knowledge needed for clinicians to work with IT teams to implement major system projects.

First ACC/AHA acute pulmonary embolism guidelines include new categories for risk stratification

The new guidance, the first of its kind, focuses on the importance of making a prompt diagnosis and providing care as quickly as possible. While some PE patients with mild cases can be discharged early, others may require an immediate catheter-based intervention or surgery.

AI-powered MRI evaluations predict STEMI outcomes better than existing risk scores

Researchers found that their advanced machine learning model consistently outperformed current risk stratification techniques.

Bayer RSNA Video

Bayer: Aiding Customer Resilience Amid CT Disruption

Sponsored by Bayer

U.S. Radiology departments navigating CT market challenges—supply disruptions and rising demand for contrast and delivery—need reliable partners. Hear Bayer leads explain how Bayer helps provide steady supply and innovations to support CT imaging and patient care.

Rich Fabian, Medical Imaging Technology at AdvaMed Imaging chair of board, a medtech industry group made up of medical imaging companies to address higher level public policy concerns, explains key reimbursement issues impacting medical imaging.

Imaging industry group concerned about paltry insurance payment rates

Chairman Rich Fabian says AdvaMed Imaging is concerned about low Medicare pay rates and onerous rules created by private insurers. 

 

Rich Fabian, Medical Imaging Technology at AdvaMed Imaging chair of board, a medtech industry group made up of medical imaging companies to address higher level trends and public policy concerns, said tariffs are having a major impact for all vendors due to diverse supply chains that cannot be changed overnight. He said the U.S. tariffs and counter tariffs from, various countries will raise costs for U.S. health systems at a time where margins for them are already razor thin. #RSNA

Medical imaging industry group shares tariff concerns

AdvaMed, a medtech industry group made up of medical imaging companies, says tariffs are having a major impact for all vendors. 

Walter Wiggins, MD, PhD, a neuroradiologist and director of clinical AI at Mosaic, explains how large language model (LLM) artificial intelligence is increasingly being used in radiology to extract structured data from narrative radiology reports to improve workflow, and to help validate, monitor and improve other AI tools being used in clinical practice.

How Radiology Partners is using large language models to monitor AI deployment

This type of tracking helps a practice understand how radiologists interact with AI, whether they're appropriately rejecting incorrect results, and if the technology is improving detection of important findings.