US-based AI radiology company Rad AI has teamed up with Google to leverage its cloud and AI applications to reduce radiologists’ time and burnout and improve the quality of patient care.
Under the collaboration, Rad AI will use Google Cloud’s platform and AI tools, including MedLM, a family of foundation models fine-tuned for healthcare industry use cases.
The radiology company will also leverage Gemini-based models in the future, and Google Cloud will serve as its preferred cloud provider.
The alliance will combine Rad AI’s expertise in radiology reporting and distribution capabilities with Google Cloud’s AI portfolio, and advancements from Google Health and Research teams.
It will bring next-generation software and reporting capabilities to practices and health systems in a meaningful way, said the radiology company.
Rad AI co-founder and CEO Doktor Gurson said: “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.”
Rad AI co-founder and CPO Jeff Chang said: “This partnership will bolster Rad AI’s dedication to advancing radiology reporting and Google’s commitment to advancing healthcare through AI-driven technologies.
“Together, Google and Rad AI will help to redefine radiology reporting, ushering in a new era of efficiency, accuracy, and patient-centric care.”
Under the collaboration, Rad AI and Google will work in a multi-faceted approach to leverage their strengths, including the latest-gen AI technology.
Rad AI will enhance its platforms, Rad AI Omni Impressions and Rad AI Reporting, with additional domain-aligned gen AI models from Google, such as MedLM.
The approach would improve Rad AI’s ability to automatically generate radiology reports customised to each radiologist’s preferred language and style.
In addition, Google Cloud’s ecosystem and technology will help Rad AI rapidly increase the size and complexity of its Rad AI Omni Impressions and Rad AI Reporting gen AI models.
Google Cloud healthcare strategy and solutions global director Aashima Gupta said: “Radiology is a field that stands to see an immediate, high-value impact from advancements in generative AI, and radiology reporting is an area where this technology can have a meaningful impact.
“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.”
