John Paulett, Director of Engineering at Rad AI, and the chief architect of Omni Reporting added: "The development of Omni Reporting from the ground up with modern architecture and the latest in generative AI, sets Omni Reporting as the future-proof platform for radiology. We focus on speed, ease of use, and interoperability, enabling seamless adoption into existing IT frameworks and future AI applications."
Rad AI's introduction of Omni Unchanged at RSNA 2023 continues its legacy of innovation in radiology, following the success of its previous solutions, including Rad AI Omni Impressions, Continuity, and Nexus. Omni Unchanged is expected to redefine the standard for radiology reporting software, reinforcing Rad AI's position as a leader in radiology AI solutions.
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"Rad AI is uniquely positioned to transform the radiology reporting landscape," said CEO Doktor Gurson. "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 daily work and lives of radiologists and patients across the globe."
About Rad AI
Rad AI is the fastest-growing radiologist-led AI company and the pioneer in generative AI in radiology since 2018, having now saved radiologists nearly one billion fewer words dictated. In addition to being named AuntMinnie's "Best New Radiology Software" in 2023 for Omni Reporting and "Best New Radiology Vendor" in 2021, CB Insights listed Rad AI as one of the most innovative digital health startups and one of the world's most promising private AI companies in its rankings.
Founded by the youngest radiologist in U.S. history, Rad AI is known for the first and most successful generative AI solution in radiology. Since then, Rad AI has seen rapid adoption of its AI platform, which is already in use at 8 of the 10 largest private radiology practices in the US and trusted by thousands of radiologists. 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.
SOURCE Rad AI
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