Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023).

Journal: Journal of medical Internet research
PMID: 40117574

Abstract

BACKGROUND: Despite the rapid growth of research in artificial intelligence/machine learning (AI/ML), little is known about how often study results are disclosed years after study completion.

Authors

  • Shoko Maru
    Real‑World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Tokyo, Japan.
  • Ryohei Kuwatsuru
    Department of Radiology, Juntendo University Faculty of Medicine and Graduate School of Medicine, 3-1-3, Hongo, Bunkyo-ku, Tokyo 113-8431, Japan.
  • Michael D Matthias
    Matthias IT Pty Ltd, Brisbane, Australia.
  • Ross J Simpson
    Division of Cardiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC, United States.

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