Nvidia Taps Abridge to Train AI on Real Doctor Visits
Nvidia Taps Abridge to Train AI on Real Doctor Visits
Publish Date: 2026-06-11 14:16:00
Source Domain: www.pymnts.com
Nvidia is partnering with Abridge to build an artificial intelligence (AI) model for clinical conversations, the Wall Street Journal reported Thursday (June 11).
Abridge’s platform listens to doctor-patient exchanges and automatically generates clinical notes. The model will run exclusively within Abridge’s platform. The deal gives Nvidia something it lacks: a large set of real physician-patient conversations recorded inside hospital settings. What makes that data valuable is precisely what makes it contested.
Abridge’s already operates across 100 health systems, including Kaiser Permanente, Mayo Clinic, Johns Hopkins and Yale New Haven Health. Private market research platform Sacra found that Kaiser Permanente alone has deployed the platform to 24,600 physicians across 40 hospitals and 600 clinics. Every one of those encounters produces usable conversational data.
Nvidia Vice President of Healthcare Kimberly Powell told the Journal the new model will bring clinical intelligence into an earlier stage of development than the industry has previously attempted.
Ambient AI Tools Became Healthcare’s Most Valuable Data Source
Ambient AI tools work by listening to conversations in the room and turning them into structured records without anyone typing. Hospitals bought them to cut the hours doctors spend on paperwork after patient visits. What became clear faster than most expected is that the platforms capturing those conversations were sitting on something more durable than a documentation business.
Abridge had already built its own speech recognition model because off-the-shelf tools weren’t accurate enough for medical conversations, Davis Liang, the startup’s director of applied science, told the Journal. The Nvidia partnership extends that same logic further.
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Abridge CEO Shiv Rao told the Journal that even powerful general models need clinical shaping to work in practice: “Generic models are powerful, but…
