Rad AI announces the partnership with Google to save radiologists’ time, reduce burnout, and to ultimately improve the quality of patient care, covering Google Cloud’s platform and AI tools, including MedLM, a family of foundation models fine-tuned for healthcare industry use cases, including Gemini-based models in the future.

Medical imaging is critical for diagnosing patients, and billions of imaging examinations are performed globally each year. Imaging data accounts for about 90 percent of all healthcare data, and the number of images continues to grow, increasing the workload for radiologists. Radiologists spend most of their time dictating reports based on these images. Rad AI is addressing this increase with its AI-enabled reporting platform, Rad AI Reporting, which can reduce words dictated by up to 90 percent.

Rad AI strives to build upon its leadership in generative AI reporting to advance radiology workflow. Its platform is trusted by 30% of U.S. radiology practices and health systems, collectively caring for more than 50 million patients annually. By combining Rad AI’s extensive distribution channel and unique radiology reporting expertise with Google Cloud’s cutting-edge AI portfolio and pioneering advancements from Google Health and Research teams, this collaboration will bring next-generation software and reporting capabilities to practices and health systems in a meaningful way.

Through this unique collaboration with Google, we can dramatically accelerate our mission of reducing radiologists’ burnout, streamlining workflow, and ultimately improving the quality of patient care,” said Doktor Gurson, co-founder and CEO of Rad AI.

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