Rad AI to Unveil Next-Generation Intelligent Radiology Reporting Solution at Launch Event

BERKELEY, Calif., Aug. 22, 2023 – Rad AI, the fastest-growing radiologist-led AI company, today announced the launch of Rad AI Omni Reporting, their next-generation intelligent radiology reporting software. Omni Reporting is in use at several of the largest radiology practices across the country, and Rad AI will make Omni Reporting commercially available across the United States at this year’s Radiological Society of North America (RSNA) Annual Meeting.

“We are thrilled to announce our Launch Day event for Omni Reporting, our transformative reporting software. On September 27, 2023, we’ll showcase how our pioneering work in generative AI led us to create a reporting solution that radiologists will love. Being a radiologist-led and radiologist-focused company, we understand the importance of AI solutions that save radiologists time, reduce fatigue and burnout, and radically improve our daily experience.”
-Dr. Jeff Chang, ER Radiologist and Co-founder of Rad AI

Rad AI took the radiology industry by storm when it released Omni Impressions in 2020. Rad AI Omni Impressions automatically generates a customized radiology report impression from the findings and clinical indication dictated by the radiologist, using the most advanced neural networks. It automatically customizes according to each individual radiologist’s exact language preferences by learning from their historical reports, to create an impression that the radiologist can simply review and finalize.

Rad AI 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.

Rad AI Nexus is an AI-enabled dynamic worklist built from the ground up by radiologists which prioritizes performance, minimal workflow interruption, and AI-driven optimal case assignment, ensuring that each radiologist gets the right study to read at the right time. Radiology practices using Nexus have experienced 15% productivity gains and see it as the better, faster, smarter worklist.

“Rad AI is uniquely positioned to transform the radiology reporting landscape. Having been the pioneer in introducing large language models (LLMs) to radiology in 2018 with our Rad AI Omni Impression solution, we’re now expanding the use of our technology across various facets of the radiology reporting workflow and are harnessing the power of generative AI in truly novel and transformative ways to empower radiologists. By ushering in the next generation of radiology reporting and taking radiology reporting from stagnation to innovation, we will improve the lives of radiologists and patients across the globe.”
-Doktor Gurson, CEO of Rad AI

Don’t miss out on the opportunity to participate in Rad AI’s Launch Day event on September 27, 2023. Secure your spot by registering at https://www.radai.com/launch-day-2023. To schedule a personalized demo of Rad AI’s full suite of solutions, please email launchday@radai.com with your name and institution.

About Rad AI

Rad AI is the fastest-growing radiologist-led AI company. In addition to being named “Best New Radiology Vendor” by AuntMinnie in Oct. 2021, Rad AI was listed as one of the Digital Health 150 by CB Insights as one of the most innovative digital health startups. In 2022, Black Book ranked Rad AI #1 in Mean KPI score on its survey of 50 emerging solutions challenging the healthcare technology status quo, and CB Insights acknowledged Rad AI in its AI 100 list as one of the world’s 100 most promising private AI companies.

Founded in 2018 by the youngest radiologist in U.S. history, Rad AI has seen rapid adoption of its AI platform and is already in use at 8 of the 10 largest private radiology practices in the U.S. Rad AI uses state-of-the-art machine learning to streamline repetitive tasks for radiologists and automate workflow for health systems, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.

Learn more about Rad AI at www.radai.com or on Twitter @radai.