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Enabling physician-centered oversight for AMIE

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We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Our researchers drive advancements in computer science through both fundamental and applied research. We regularly open-source projects with the broader research community and apply our developments to Google products. Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science. We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Supporting the next generation of researchers through a wide range of programming. Participating in the academic research community through meaningful engagement with university faculty. Connecting with the broader research community through events is essential for creating progress in every aspect of our work. August 12, 2025 David Stutz, Research Scientist, Google DeepMind, and Natalie Harris, Software Engineer

Enabling physician-centered oversight for AMIE Skip to main content Enabling physician-centered oversight for AMIE August 12, 2025 David Stutz, Research Scientist, Google DeepMind, and Natalie Harris, Software Engineer, Google Research We introduce guardrailed-AMIE (g-AMIE), a diagnostic AI designed for history-taking. g-AMIE operates with a guardrail that prohibits it from giving individualized medical advice, instead generating a summary for an overseeing physician to review. Quick links Paper Share Copy link × Recent work demonstrated that Articulate Medical Intelligence Explorer (AMIE), ou

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