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Comment on "The Potential Impact of Artificial Intelligence on Health Care Spending"

In: The Economics of Artificial Intelligence: Health Care Challenges

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  • Mark Sendak
  • Freya Gulamali
  • Suresh Balu
Abstract
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Suggested Citation

  • Mark Sendak & Freya Gulamali & Suresh Balu, 2023. "Comment on "The Potential Impact of Artificial Intelligence on Health Care Spending"," NBER Chapters, in: The Economics of Artificial Intelligence: Health Care Challenges, pages 78-86, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14795
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    File URL: http://www.nber.org/chapters/c14795.pdf
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    References listed on IDEAS

    as
    1. Kristin M Corey & Sehj Kashyap & Elizabeth Lorenzi & Sandhya A Lagoo-Deenadayalan & Katherine Heller & Krista Whalen & Suresh Balu & Mitchell T Heflin & Shelley R McDonald & Madhav Swaminathan & Mark , 2018. "Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-19, November.
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