RSNA Ventures partners with Rad AI to embed a century of medical research into real-time GenAI radiology workflows.
RSNA Ventures, the innovation arm of the Radiological Society of North America, has partnered with Rad AI to integrate 100 years of peer-reviewed RSNA research directly into radiology workflows. The collaboration enables RSNA Ventures to access trusted, case-specific insights in real time through Rad AI’s GenAI platform. This addresses the rising workload and diagnostic complexity.
The U.S. faces a growing radiologist shortage while imaging volumes continue to rise. Traditionally, radiologists spend hours cross-referencing research to support diagnoses. RSNA Ventures’ partnership with Rad AI eliminates this barrier by delivering contextually relevant literature, case studies, and differential diagnoses within seconds. As well as delivering it without interrupting existing workflows.
Rad AI’s platform uses custom GenAI models trained on large proprietary radiology datasets. Its algorithms automatically generate report impressions, summarize findings, and recommend follow-up actions. This reduces the dictation time by nearly half. The company reports that users save over an hour per shift and that 84% of radiologists experience less burnout. By embedding RSNA’s validated knowledge, the system ensures that AI-generated insights remain clinically sound and evidence-based.
According to Jeff Chang, co-founder of Rad AI, the partnership “gives radiologists an unprecedented advantage by surfacing case-based insights while they dictate.” RSNA board member Adam Flanders added that the initiative bridges the gap between data and diagnosis, “turning knowledge into actionable intelligence at the point of care.” The first joint product demo will debut at RSNA 2025 in Chicago.
