Rad AI raises $60M to help radiologists improve accuracy of patient care

Full Article

Rad AI has successfully raised $60 million in a Series C funding round led by Transformation Capital, aimed at enhancing the accuracy of patient care through generative artificial intelligence. This funding follows a previous $50 million Series B round, bringing the total investment to over $140 million. The company's software is designed to assist radiologists, who play a crucial role in diagnosing and treating diseases using imaging techniques.

The innovative AI solutions developed by Rad AI, such as Rad AI Impressions and Rad AI Reporting, significantly reduce the time radiologists spend on dictation and improve the quality of patient follow-up. By automating communication and recommendations, Rad AI's technology addresses the growing issue of burnout among healthcare professionals. This advancement not only streamlines workflows but also enhances the overall efficiency of healthcare systems.

• Rad AI raised $60 million to enhance radiology with AI technology.

• AI solutions reduce radiologists' dictation time by up to 50%.

Key AI Terms Mentioned in this Article

Generative AI

Rad AI utilizes generative AI to assist radiologists in summarizing findings from medical imaging.

Large Language Models

Rad AI developed the first large language models for medical assistance to improve radiology workflows.

AI-Driven Software

Rad AI's software automates dictation and follow-up recommendations, significantly improving efficiency.

Companies Mentioned in this Article

Rad AI

Rad AI specializes in developing AI solutions for radiology, enhancing the accuracy and efficiency of patient care through innovative software.

Transformation Capital

Transformation Capital is a venture capital firm that led Rad AI's Series C funding round, supporting the deployment of AI technology in healthcare.

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