A Nationwide Network of Health AI Assurance Laboratories.

Journal: JAMA
PMID: 38117493

Abstract

IMPORTANCE: Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, effective, and safe are urgently needed.

Authors

  • Nigam H Shah
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • John D Halamka
    Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Suchi Saria
    Department of Computer Science, Johns Hopkins University, Baltimore, MD.
  • Michael Pencina
    Duke Clinical Research Institute, Durham, NC, USA.
  • Troy Tazbaz
    US Food and Drug Administration, Silver Spring, Maryland.
  • Micky Tripathi
    US Office of the National Coordinator for Health IT, Washington, DC.
  • Alison Callahan
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305.
  • Hailey Hildahl
    Mayo Clinic Platform, Mayo Clinic, Rochester, Minnesota.
  • Brian Anderson
    Coalition for Health AI, Dover, Delaware.

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