4 Topic Commentaries

Building on AI Foundations

Building on AI Foundations

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  Shantanu Nundy, MD, MBA

  Internal Medicine / Primary Care; Digital Health Policy

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  U.S. Food and Drug Administration

  The starting point is not, 'Is this AI?' It is, 'What function is the product performing, and does that function fall within FDA device regulation?'

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  Matthew Callstrom, MD, PhD

  Radiology; Medical Imaging AI

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  Mayo Clinic

  Multimodal foundation models hold immense promise in tackling significant roadblocks across the radiology ecosystem. The innovations we’re creating with Microsoft Research will help unlock valuable insights for the future of medical imaging to improve how radiologists work and how patients are cared for.

  Source
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  Percy Liang, PhD

  Computer Science / Artificial Intelligence

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  Stanford University

  The term, you know, large language models doesn't really underscore the importance or the role that this, uh, these models were going to have. So, we called it foundation models, uh, because we felt like there's a paradigm shift where we all of a sudden have these huge models trained on broad data, uh, which served as a foundation for developing other products and models downstream.

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  Patrick Hsu, PhD

  Bioengineering / Genomics / Foundation Models

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  Arc Institute; University of California, Berkeley

  There has been tremendous progress in machine learning for protein design, but most important biological functions are accomplished by more than just a single monomeric protein scaffold.

  Source