Oak Brook, IL — October 7 — RSNA Ventures, a mission-aligned subsidiary of the Radiological Society of North America (RSNA), is proud to announce a strategic partnership with Rad AI, the leader in generative AI for healthcare, to advance innovation in radiology and imaging technologies.
Radiologists are under mounting pressure as imaging volumes rise faster than the workforce can grow. At the same time, the body of medical knowledge continues to grow exponentially, making it increasingly challenging for many physicians to meet the demands of daily practice. This partnership addresses that challenge head-on by delivering more than 100 years of RSNA’s trusted peer-reviewed knowledge directly into radiologists’ daily workflow through Rad AI Reporting.
The collaboration, announced shortly after the launch of RSNA Ventures, marks a pivotal step toward its commitment to developing and commercializing solutions that enhance the practice of radiology, improve patient care, and drive the future of medical imaging. By joining forces with Rad AI, RSNA Ventures aims to bring trusted, RSNA-powered innovations to market with speed and impact.
Ad Statistics
Times Displayed: 2773
Times Visited: 5 Stay up to date with the latest training to fix, troubleshoot, and maintain your critical care devices. GE HealthCare offers multiple training formats to empower teams and expand knowledge, saving you time and money.
“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 trust, the collaboration is designed to close one of the biggest gaps in modern imaging: ensuring that radiologists have immediate access to trusted, peer-reviewed and relevant information at the moment of interpretation. Instead of relying on memory or manual searches, case-based insights can be automatically surfaced, helping radiologists manage growing workloads while maintaining the highest standards of care.
“Radiologists have always been pioneers in adopting technology,” said Jeff Chang, M.D., cofounder 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.”
