Projected Growth in FDA-Approved Artificial Intelligence Products Given Venture Capital Funding.

Journal: Journal of the American College of Radiology : JACR
PMID: 37843483

Abstract

PURPOSE: Medical imaging accounts for 85% of digital health's venture capital funding. As funding grows, it is expected that artificial intelligence (AI) products will increase commensurately. The study's objective is to project the number of new AI products given the statistical association between historical funding and FDA-approved AI products.

Authors

  • Nicole K McNabb
    Data Science Analyst, ACR Data Science Institute, Reston, Virginia. Electronic address: nkm.mcnabb@gmail.com.
  • Eric W Christensen
    Director, Economic and Health Services Research, Harvey L. Neiman Health Policy Institute, Reston, Virginia, and Adjunct Professor, Health Services Management, University of Minnesota, St Paul, Minnesota.
  • Elizabeth Y Rula
    Executive Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia.
  • Laura Coombs
    ACR Data Science Institute, Reston, Virginia.
  • Keith Dreyer
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Christoph Wald
    Chairman, Department of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School; Chair of the ACR Informatics Commission.
  • Christopher Treml
    Director of Data Science, ACR Data Science Institute, Reston, Virginia.

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