Nvidia Accelerates Healthcare AI Race With Transcription Model

Nvidia building

Nvidia and Abridge partnered to develop an artificial intelligence model focused on conversations between doctors and patients, The Wall Street Journal reported Thursday (June 11).

    Get the Full Story

    Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.

    yesSubscribe to our daily newsletter, PYMNTS Today.

    By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions.

    The model will use Nvidia’s Nemotron open models and will be deployed exclusively in Abridge’s app that transcribes conversations between doctors and patients. The model is expected to launch later this year, according to the report, which cited interviews with executives from the two companies.

    The collaboration demonstrates how Nvidia’s open models can be used for healthcare and life sciences applications, such as drug discovery, medical devices and digital health, the report said.

    PYMNTS reported in January 2025 that Nvidia launched a series of partnerships designed to boost the healthcare sector via AI.

    The company said at the time that it was working with partners to develop solutions that included AI agents that reduce administrative burden during clinical trials, AI models that advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations.

    In March, Nvidia released what it described as the first open platform built specifically for healthcare robotics, a stack of datasets, simulation tools and vision-language-action models designed to train AI systems on surgical environments and deploy them in real clinical workflows.

    The company said the platform’s use cases fall into two categories: AI that watches surgery and surfaces information to clinicians in real time, and AI that handles the coordination work that fills a hospital’s hours between procedures.

    The PYMNTS Intelligence report “Healthcare Firms Going Long on GenAI Investment” said in October 2024 that among healthcare firms generating at least $1 billion in annual revenue, about 90% expected a positive return on investment from the generative AI they were deploying in product innovation, fraud prevention and customer service.

    Anthropic announced in May that it teamed with the Gates Foundation on a $200 million health-and-education-focused AI project. The partnership will combine grant funding with technical support and usage credits for Anthropic’s Claude model to “extend the benefits of AI in areas where markets alone will not,” Anthropic said.

    OpenAI said in April that it introduced a version of ChatGPT called ChatGPT for Clinicians that is designed to help clinicians by supporting tasks such as documentation and medical research.

    For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.