Rad AI, a radiologist-led artificial intelligence (AI) company founded in 2018, announces $25 million in Series A funding. The round was led by ARTIS Ventures with participation by several existing investors, including OCV Partners, Kickstart Fund, and Gradient Ventures (Google’s AI-focused fund). The funding will 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 Rad AI’s mission to empower radiologists with AI—saving them time, reducing burnout, and helping to improve the quality of patient care.

How Rad AI Helps Radiologists and Improves Patient Care

“At Rad AI, we’ve always believed that AI will augment and benefit radiologists, not replace them,” says Doktor Gurson, co-founder and CEO of Rad AI. “Radiology is an extraordinarily complex field, of which image pattern recognition is only a small part. By building products that put the radiologist and patient first we’ve been able to break through the noise and focus on what really matters—reducing radiologist fatigue and improving patient care.” 

Rad AI Omni automatically generates a customized impression from the findings and clinical indication dictated by the radiologist, using the most advanced neural networks. It learns each radiologist’s language preferences from all their prior reports, to create an impression that the radiologist can simply 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.

“It’s important to us to remain at the forefront of implementing groundbreaking technology to best serve our patients and provide the optimal environment for our radiologists to do their best work,” Casey Schmitz, MD, neuroradiologist and physician lead for the AI Workgroup at Inland Imaging. “Our radiologists are impressed with the efficiency gains, quality gains, and reduction in fatigue. Rad AI is an ideal partner that is both innovative and customer-focused and places a premium on developing long-term partnerships.”

Rad AI’s second product, Continuity, closes the loop on follow-up recommendations for significant incidental findings in radiology reports. Using AI-driven automation, Continuity ensures that appropriate patient follow-up is communicated and completed. This improves patient outcomes, reduces health system liability, and drives new financial value for health systems and radiology practices. Continuity integrates directly into health systems’ EMR and has a platform available for outpatient imaging.