Lunit has partnered with Microsoft to co-develop scalable, AI-powered healthcare solutions that enhance cancer detection and clinical workflow integration, leveraging Microsoft Azure and the recent acquisition of Volpara.
Three brief takeaways:
- Customizable AI Models on Azure – Lunit and Microsoft are building tools to fine-tune AI models with site-specific clinical data, improving real-world performance and reliability.
- End-to-End Workflow Automation – The partnership will create AI-driven solutions that streamline clinical decision-making and operational efficiency using Microsoft’s agentic AI frameworks.
- Expanded Global Access – The collaboration accelerates Lunit’s U.S. and global expansion efforts by utilizing Microsoft Azure’s trusted cloud infrastructure and healthcare AI capabilities.
Lunit, a provider of AI for cancer diagnostics and therapeutics, has announced a collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions. In conjunction with their recent acquisition of Volpara, a Microsoft Industry Health Certified Partner, this collaboration will give health professionals globally access to tools that will assist in the detection of cancer.
This underscores Lunit’s long-term vision to move beyond standalone AI tools—toward building integrated solutions that align with real-world clinical practice, according to the company. By joining forces with Microsoft, Lunit is poised to deliver scalable technologies that not only streamline radiology workflows but also drive measurable improvements in diagnostic consistency and patient care across diverse healthcare settings.
This marks a significant milestone in Lunit’s mission to expand access to AI tools, particularly in the U.S. market, by leveraging Microsoft Azure’s global cloud infrastructure and deep expertise in healthcare-focused AI technologies.
Key highlights of the collaboration include:
–  Co-Development of AI Model Customization Service on Azure: Lunit and Microsoft collaborate to develop a service that allows fine-tuning of AI models using site-specific clinical data from each customer. This approach helps mitigate cross-site model performance variability—one of the key challenges in deploying AI in real-world clinical environments—and ensures more reliable, tailored outcomes in diverse clinical settings.
– Leveraging Microsoft’s AI Platform for Innovative Workflow Solutions: Moving beyond point solutions, Lunit will leverage Microsoft’s agentic AI frameworks—designed to support intelligent task automation—to develop end-to-end workflow automation tools. These solutions aim to simplify clinical decision-making and enhance operational efficiency across the care continuum.
“For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated into clinical practice,” says Brandon Suh, CEO of Lunit. “Our collaboration with Microsoft enables us to bring our AI to more providers through trusted platforms like Microsoft Azure, helping us expand access in the U.S. and beyond. This collaboration brings us one step closer to delivering high-quality, consistent care through AI—at scale.”
“With Microsoft Azure, we are shaping an ecosystem that supports partners like Lunit in delivering scalable AI innovations,” says Naveen Valluri, general manager, Health and Life Sciences Data and AI at Microsoft. “By combining our infrastructure with clinical-grade AI developed in close collaboration with leaders like Lunit, we’re accelerating the development of intelligent, integrated solutions for radiology and beyond.”
Featured Image: Wrightstudio | Dreamstime.com
