Rad AI, an AI startup for radiology reporting, has partnered with Google to enhance radiologists’ efficiency, reduce burnout, and elevate patient care quality. This collaboration entails Rad AI utilizing Google Cloud’s platform and AI tools, including MedLM—tailored for healthcare, including future Gemini-based models. In addition, Google Cloud will become Rad AI’s preferred cloud provider.
Imaging data accounts for about 90% 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%.
Rad AI is partnering with Google Cloud to improve radiology workflows. With a strong presence in 30% of U.S. radiology practices and health systems, they aim to enhance healthcare providers’ capabilities through this collaboration.
“This partnership represents an exciting leap forward in our commitment to transforming the radiology reporting landscape,” says Doktor Gurson, co-founder and CEO of Rad AI. “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.”
This work encompasses a multi-faceted approach designed to leverage the strengths of both Rad AI and Google, including platform enhancements with the latest generative AI technology:
- Rad AI is integrating Google’s generative AI models, like MedLM, into its platforms (Rad AI Omni Impressions and Rad AI Reporting) to automate personalized radiology reports in the radiologists’ preferred style and language, enhancing efficiency and consistency.
- Leveraging Google Cloud’s technology ecosystem, Rad AI plans to expand and enhance its Rad AI Omni Impressions and Rad AI Reporting gen AI models. This will unlock higher levels of clinical accuracy and personalization. Research has already demonstrated that Rad AI’s models can reduce clinical errors, almost by half, especially for complex CT angiogram reports.
“Radiology is a field that stands to see immediate, high-value impact from advancements in generative AI, and radiology reporting is an area where this technology can have a meaningful impact,” says Aashima Gupta, global director of healthcare strategy and solutions for Google Cloud. “As the number of medical images continues to grow, our goal is to enable the ecosystem and help our customers equip radiologists with the latest generative AI capabilities not only to help manage workflows but also to expedite patient treatment through faster and more accurate diagnoses.”
“This partnership will bolster Rad AI’s dedication to advancing radiology reporting and Google’s commitment to advancing healthcare through AI-driven technologies,” adds Jeff Chang, co-founder and CPO of Rad AI. “Together, Google and Rad AI will help to redefine radiology reporting, ushering in a new era of efficiency, accuracy, and patient-centric care.”