Tech giant joins forces with startup to develop new AI model for healthcare
Nvidia and Abridge are collaborating to develop a new AI model tailored for clinical conversations, leveraging Nvidia’s Nemotron open-source models to enhance healthcare tasks like documentation and decision support. The partnership aims to integrate AI into Abridge’s platform, with Nvidia also being an investor in the startup amid growing hospital adoption of predictive AI tools in the U.S.
Nvidia and Abridge are partnering to create an AI model designed specifically for clinical conversations, according to an initial report by The Wall Street Journal. The model will be deployed exclusively within Abridge’s platform, improving tasks such as clinical documentation and decision support. Nvidia’s Nemotron family of open-source models will serve as the foundation for training the new AI, allowing for customization with clinical intelligence at an early development stage. Abridge’s software converts patient-clinician interactions into AI-generated notes that are contextually aware, clinically useful, and billable. Nvidia, which is also an investor in Abridge, aims to leverage its expertise in AI to accelerate the integration of clinical intelligence into healthcare workflows. The collaboration comes as AI adoption in hospitals continues to rise, with 71% of U.S. hospitals reporting the use of predictive AI integrated with electronic health records in 2024, up from 66% in 2023. The partnership highlights the growing trend of AI-driven solutions in healthcare, where tools like those developed by Abridge are increasingly being used to streamline administrative tasks and improve patient outcomes. Tampa General Hospital in Florida, for example, has reportedly reduced sepsis-related deaths by half using AI-powered monitoring systems. The new model from Nvidia and Abridge could further expand the capabilities of such technologies, offering more precise and efficient clinical support. While neither company responded to requests for comment, the collaboration underscores the potential for AI to transform healthcare delivery by automating repetitive tasks and enhancing diagnostic accuracy. The use of open-source models like Nemotron also suggests a broader industry shift toward customizable, scalable AI solutions tailored to specialized fields such as medicine. As hospitals increasingly rely on AI, partnerships like this one could set new standards for integrating advanced technology into clinical practice.
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