Synthetic data in machine learning for medicine and healthcare.

Journal: Nature biomedical engineering
PMID: 34131324

Abstract

The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.

Authors

  • Richard J Chen
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Ming Y Lu
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Tiffany Y Chen
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Drew F K Williamson
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Faisal Mahmood
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.

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