Transforming radiology reporting with AI - Rad AI

Our latest episode features Demetri Giannikopoulos, Chief Innovation Officer at Rad AI, who brings over 14 years of experience from Nuance where he helped revolutionize radiology reporting from tape recorders to digital speech recognition. Now at Rad AI, he’s leading the next transformation in radiology workflows.

Rad AI has achieved remarkable market penetration with approximately 30% of all US radiologists using their platform. What started as an impression generation tool has evolved into a comprehensive cloud-native platform that replaces legacy systems entirely. The technology understands what radiologists dictate and automates the impression synthesis, all in the radiologist’s own voice.

The impact is tangible: radiologists save an hour per 10-hour shift, addendums have decreased by 10-15%, and doctors can keep their eyes on the images rather than documentation. Top academic medical centers including Mayo and Yale have adopted the platform.

As the first partner of RSNA Ventures, Rad AI is converting a century of peer-reviewed clinical insights into actionable insights into actionable information delivered at the point of care. Their recent Series C raised nearly a $250 million to fund ambitious next steps: AI agents that flag discrepancies across prior studies, a product that manages the 12-15% of patients with incidental findings, and integration of vision-based foundation models.

Demetri’s vision is clear: AI should be an assistant that enables radiologists to focus on what they love, reading images.

This episode is a must-listen for anyone interested in clinical AI, radiology innovation, workflow automation, or building healthcare platforms that deliver measurable time savings and quality improvements.