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Rad AI

Rad AI Nabs $25M to Automate Radiology Impressions, Save Time, Reduce Burnout, Improve Patient Care

by Jasmine Pennic 11/11/2021 Leave a Comment

Rad AI Raises $4M to Automate Repetitive Tasks for Radiologists Through Machine Learning

What You Should Know: - Rad AI, a Berkely, CA-based radiologist-led AI company, today announced $25M in Series A funding led by ARTIS Ventures with participation by several existing investors, including OCV Partners, Kickstart Fund, and Gradient Ventures (Google's AI-focused fund). - 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
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Rad AI Startup Sirona Medical Emerges from Stealth with $22.5M, Partnerships

by Jasmine Pennic 08/05/2021 Leave a Comment

Rad AI Startup Sirona Medical Emerges from Stealth with $22.5M, Partnerships

What You Should Know: - Sirona Medical, a San Francisco, CA-based company founded on a deep understanding of both the practice and business of radiology, today announced partnerships with radiology practices across the country to develop and bring to market its novel radiology operating system (RadOS). - Sirona's collaboration with five leading national practices including California Advanced Imaging Medical Associates (CAIMA), Hackensack Radiology Group, Triad Radiology Group, among
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Rad AI Raises $4M to Automate Repetitive Tasks for Radiologists Through Machine Learning

by Fred Pennic 11/25/2019 Leave a Comment

Rad AI Raises $4M to Automate Repetitive Tasks for Radiologists Through Machine Learning

- Rad AI raises $4M in seed funding led by Gradient Ventures, Google’s AI-focused venture fund to transform radiology with the latest advances in AI to save radiologists 60+ minutes a day. - By streamlining existing workflow and automating repetitive manual tasks, Rad AI increases daily productivity while reducing radiologist burnout.  - Rad AI provides more consistent radiology reports for ordering clinicians, and higher accuracy for the patients it serves. Berkeley-based Rad AI, a
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