Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials.

Journal: BMJ health & care informatics
Published Date: Dec 1, 2021

Abstract

OBJECTIVE: Given the complexities of testing the translational capability of new artificial intelligence (AI) tools, we aimed to map the pathways of training/validation/testing in development process and external validation of AI tools evaluated in dedicated randomised controlled trials (AI-RCTs).

Authors

  • George C M Siontis
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Romy Sweda
    Department of Cardiology, Inselspital, University Hospital of Bern, Bern, Switzerland.
  • Peter A Noseworthy
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
  • Paul A Friedman
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Konstantinos C Siontis
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Chirag J Patel
    Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.

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