Zachary Bratun-Glennon, Partner at Gradient Ventures, added, "The team at Rad AI is uniquely suited to apply innovative technology to this field, with strong radiology and AI experts and firsthand knowledge of this market. It's exciting to see the quantitative benefits and positive feedback from their radiology customers, and we're looking forward to the impact of their future products."
Rad AI is participating in the upcoming RSNA 2019 Annual Meeting in Chicago later this month, located in the AI Showcase at #10514B (North Hall, Level 2). The team will also present and demo at the Nvidia, AWS, and M*Modal (3M) booths - #10939, #10942, and #6513.
About Rad AI
Founded in 2018 by Doktor Gurson and Dr. Jeff Chang, Rad AI uses machine learning to transform the practice of radiology. Its AI products are designed by radiologists, for radiologists. By streamlining existing workflow and automating repetitive manual tasks, Rad AI increases daily productivity while reducing radiologist burnout. In addition, Rad AI provides more consistent radiology reports for ordering clinicians, and higher accuracy for the patients it serves.
The company has raised over $4 million in funding and is based in Berkeley, CA.
About Gradient
Gradient Ventures is Google's AI-focused venture fund - investing in and connecting early stage startups with Google's resources, innovation, and technical leadership in artificial intelligence. The fund focuses on helping founders navigate the challenges in developing new technology products, allowing companies to take advantage of the latest advances in machine learning, so that great ideas can come to life. Gradient was founded in 2017 and is based in Palo Alto, California.
SOURCE Rad AI
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