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RSNA Ventures and Rad AI Partner to Embed Trusted Knowledge in Radiology Workflows

by Fred Pennic 10/07/2025 Leave a Comment

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RSNA Ventures and Rad AI Partner to Embed Trusted Knowledge in Radiology Workflows

What You Should Know: 

– RSNA Ventures, a mission-aligned subsidiary of the Radiological Society of North America (RSNA), has announced a strategic partnership with Rad AI, a leader in generative AI for healthcare.

– The collaboration is designed to advance innovation in radiology and imaging technologies. This move directly addresses the mounting pressure on radiologists as imaging volumes rise faster than the workforce can grow.


Accelerate Innovation in Radiology

The body of medical knowledge is growing exponentially, making it increasingly challenging for many physicians to meet the demands of daily practice. This partnership aims to solve that critical challenge by leveraging AI to optimize workflows and improve patient care.

  • Integration of Trust: The collaboration will deliver over 100 years of RSNA’s trusted peer-reviewed knowledge directly into radiologists’ daily workflow through Rad AI Reporting.
  • Immediate Access: Instead of relying on memory or manual searches, case-based insights can be automatically surfaced at the moment of image interpretation.
  • Confidence and Speed: By connecting this trusted RSNA knowledge with daily practice, radiologists can deliver rapid, data-backed recommendations and answers faster and with greater confidence.

“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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