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How to regulate evolving AI health algorithms

Nature Medicine volume 29, page 26 (2023)Cite this article

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Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.

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Authors and Affiliations

  1. Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA, USA

    David W. Bates

  2. Harvard Medical School, Boston, MA, USA

    David W. Bates

  3. Department of Health Care Policy, Harvard Medical School, Boston, MA, USA

    David W. Bates

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  1. David W. Bates
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Correspondence to David W. Bates.

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D.W.B. reports grants and personal fees from EarlySense, personal fees from CDI Negev, equity from ValeraHealth, equity from Clew, equity from MDClone, personal fees and equity from AESOP, and grants from IBM Watson Health, outside the submitted work.

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Bates, D.W. How to regulate evolving AI health algorithms. Nat Med 29, 26 (2023). https://doi.org/10.1038/s41591-022-02165-8

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  • DOI: https://doi.org/10.1038/s41591-022-02165-8

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