Rad AI Raises $25M in Series A Funding

Rad AI

Rad AI, a Berkeley CA-based radiologist-led AI company, raised $25M in Series A funding.

The round was led by ARTIS Ventures with participation from OCV Partners, Kickstart Fund, and Gradient Ventures.

The company intends to use the funds to drive further development and commercialization of Rad AI Omni and Rad AI Continuity, the company’s first core offerings on its AI platform, and advance its mission to empower radiologists with AI — saving them time, reducing burnout, and helping to improve the quality of patient care.

Led by Doktor Gurson, CEO, and Dr. Jeff Chang, Rad AI provides an AI platform that streamlines the radiology workflow, providing time savings for radiologists and improving report processes, while helping reduce radiologist burnout. The company automatically generates a customized impression from the findings and clinical indication dictated by the radiologist, using advanced neural networks. It learns each radiologist’s language preferences from all of their prior reports, to create an impression that the radiologist can review and finalize. In addition, Rad AI Omni improves report accuracy and consistency by making sure to include significant incidental findings, answering the main clinical question, and providing consensus guideline recommendations for follow-up. The impression appears in the practice’s voice recognition software as soon as the radiologist finishes dictating the findings, without any clicks, hotkeys or new windows. Rad AI’s second product, Continuity, closes the loop on follow-up recommendations for incidental findings in radiology reports. Using AI-driven automation, Continuity ensures that appropriate patient follow-up is communicated and completed. Continuity integrates directly into health systems’ EMR, and also has a platform available for outpatient imaging.

The company is currently working with 7 of the 10 largest private radiology practices in the U.S.