RSNA Ventures Partners with Rad AI to Integrate AI-Powered Radiology Solutions

The Radiological Society of North America (RSNA) has launched a new venture arm, RSNA Ventures, and announced a strategic partnership with Rad AI to revolutionize radiologists' workflow through the integration of generative AI technology. This collaboration aims to address the growing challenges faced by radiologists, including increasing case volumes, workforce shortages, and the need for rapid access to trusted, peer-reviewed information.

RSNA Ventures: A Launchpad for Innovation in Radiology

RSNA Ventures, established as a subsidiary of RSNA, is designed to accelerate innovative ideas that enhance the practice of radiology, improve patient care, and advance the field of medical imaging. Dr. Adam Flanders, who serves on the RSNA board of directors as the liaison for information technology, described the venture arm as "a launchpad for new ideas that will drive meaningful impact in radiology and imaging."

The launch of RSNA Ventures comes at a critical time for the radiology field, which is grappling with a widening gap between rising demand and limited workforce capacity. The United States faces shortages in various medical fields, including diagnostic radiology, as the increasing number of imaging studies outpaces the capacity of available radiologists.

Rad AI: Pioneering Generative AI Solutions for Radiologists

Rad AI, founded in 2018 by Dr. Jeff Chang, has emerged as a leader in developing generative AI tools for radiologists. The company's solutions are designed to streamline workflows, save time, reduce burnout, and improve patient care. Rad AI's product suite includes:

1. Impressions: Automatically generates report impressions from dictated findings.
2. Reporting: Uses advanced machine learning algorithms and generative AI to create accurate reports quickly.
3. Continuity: Closes the loop on follow-up recommendations for significant incidental findings in radiology reports.

The company claims to work with more than 200 customers across hospitals, health systems, and radiology groups in the U.S., accounting for nearly 50% of all U.S. medical imaging. Rad AI reports that its solutions can save radiologists more than 60 minutes per shift and cut dictation time by nearly half.

RSNA Ventures and Rad AI Partnership: Bridging Knowledge and Practice

The collaboration between RSNA Ventures and Rad AI aims to close one of the most significant gaps in modern imaging by ensuring that radiologists have immediate access to trusted, peer-reviewed, relevant information at the moment of interpretation. This partnership will integrate RSNA's extensive peer-reviewed knowledge, spanning 100 years, directly into radiologists' workflows through Rad AI's generative AI solution.

Dr. Flanders emphasized the importance of this integration, stating, "This collaboration enables RSNA Ventures to bring RSNA's trusted knowledge and vetted resources directly to the radiologist, seamlessly and exactly when they need it. And, importantly, in a way that doesn't interrupt the workflow."

The first milestone of this partnership will be a product demonstration at the RSNA 2025 annual meeting in Chicago in late November. This integration is expected to help radiologists deliver rapid, data-backed recommendations to providers and answers to patients faster, with greater confidence and assurance that decisions are grounded in the best available peer-reviewed knowledge.

As the radiology field continues to evolve and face new challenges, collaborations like the one between RSNA Ventures and Rad AI represent a significant step towards leveraging technology to support radiologists and improve patient care. The integration of AI-powered solutions with trusted medical knowledge promises to shape the future of radiology practice, potentially addressing critical issues such as workforce shortages and increasing case complexity.