Lunit, a South Korea-based provider of AI-powered cancer diagnostics, has partnered with Microsoft to advance AI-driven healthcare solutions.
The collaboration, which follows Lunit’s recent acquisition of Volpara, aims to provide global health professionals with tools to improve cancer detection.
The partnership supports Lunit’s goal of integrating AI solutions into real-world clinical practice, enhancing diagnostic consistency and patient care.
By leveraging Microsoft Azure’s cloud infrastructure and AI expertise, Lunit seeks to expand access to its AI tools, particularly in the US market.
The collaboration marks a pivotal step in delivering scalable technologies that streamline radiology workflows and improve diagnostic outcomes across diverse healthcare settings.
Lunit CEO Brandon Suh said: “For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated into clinical practice.
“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 US and beyond.
“This collaboration brings us one step closer to delivering high-quality, consistent care through AI at scale.”
Under the partnership, Lunit and Microsoft will jointly develop an AI model customisation service on Microsoft Azure, for fine-tuning AI models using site-specific clinical data.
The service will address the challenge of cross-site model performance variability and ensure reliable outcomes in various clinical environments.
In addition, Lunit will leverage Microsoft’s AI platform to develop end-to-end workflow automation tools.
The solutions aim to simplify clinical decision-making and enhance operational efficiency throughout the care continuum, moving beyond point solutions to workflow innovations.
Microsoft health and life sciences data and AI general manager Naveen Valluri said: “With Microsoft Azure, we are shaping an ecosystem that supports partners like Lunit in delivering scalable AI innovations.
“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.”
In May, Lunit partnered with Starvision Service, Germany’s largest private radiology network, to implement AI imaging solutions across its 79 locations.
The collaboration seeks to optimise radiological practices with advanced AI technology, improving patient care and operational efficiency.
Under a five-year agreement, Lunit will deploy its AI suite, including chest X-ray, mammography, tomosynthesis, and fracture detection, throughout Starvision’s network.
