
RSNA Ventures, the mission-aligned investment arm of the Radiological Society of North America (RSNA), has announced a strategic partnership with Rad AI, a leader in generative AI solutions for healthcare. This collaboration aims to accelerate innovation in radiology and medical imaging technologies.
Radiologists today face growing pressures as imaging volumes rise faster than the workforce can expand, while the body of medical knowledge continues to grow exponentially. This partnership addresses these challenges by integrating more than 100 years of RSNA’s trusted, peer-reviewed content directly into radiologists’ daily workflow via Rad AI Reporting.
The announcement comes shortly after the launch of RSNA Ventures, signaling a key step in the organization’s mission to develop and commercialize solutions that enhance radiology practice, improve patient care, and shape the future of medical imaging. By collaborating with Rad AI, RSNA Ventures aims to bring RSNA-powered innovations to market quickly and effectively.
"This partnership aims to solve a critical challenge for radiologists – leveraging AI to optimize workflows to improve patient care," said Adam E. Flanders, M.D., RSNA board member and Liaison for Information Technology. "Through this alliance, RSNA Ventures will deliver RSNA's peer-reviewed content into Rad AI's solutions already in use across leading U.S. radiology practices and health systems, ensuring that this innovation is trusted and practical."
By combining scale with credibility, the collaboration seeks to bridge one of the biggest gaps in modern imaging: providing radiologists with immediate access to trusted, peer-reviewed, and contextually relevant information at the point of interpretation. Rather than relying on memory or manual searches, case-based insights can now be automatically surfaced, helping radiologists manage growing workloads without compromising care quality.
"Radiologists have always been pioneers in adopting technology," said Jeff Chang, M.D., co-founder and chief product officer, Rad AI. "This partnership with RSNA Ventures gives radiologists an unprecedented advantage, bringing case-based insights directly into their workflow in real time, allowing them to stay focused on image interpretation. By connecting trusted RSNA knowledge with daily practice, radiologists can deliver rapid, data-backed recommendations to providers and answers to patients faster, with greater confidence and with assurance that decisions are grounded in the best available peer-reviewed knowledge."
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The first milestone of this partnership will be a product demonstration at the RSNA 2025 Annual Meeting, highlighting how RSNA content can seamlessly assist radiologists in real time. Demonstrations will take place in the AI Theater, the Discovery Theater, and at Rad AI's Booth 4753, McCormick Place South Hall Level 3. Additional announcements and product showcases are expected throughout the conference.