This paper is in the following e-collection/theme issue:

Artificial Intelligence (1627) Machine Learning (1650) Knowledge Translation and Implementation Science (433) Digital Science, Open Science (85) Digital Health Reporting Standards, Quality and Transparency in e-Research (92)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60148, first published .
Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

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

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

Authors of this article:

Shoko Maru1 Author Orcid Image ;   Ryohei Kuwatsuru1, 2 Author Orcid Image ;   Michael D Matthias3 Author Orcid Image ;   Ross J Simpson Jr4 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Shoko Maru   1 , PhD ;   Ryohei Kuwatsuru   1, 2 , MD, PhD ;   Michael D Matthias   3 , BEng ;   Ross J Simpson Jr   4 , MD, PhD

1 Real‑World Evidence and Data Assessment (READS), Graduate School of Medicine, Juntendo University, Tokyo, Japan

2 Department of Radiology, School of Medicine, Juntendo University, Tokyo, Japan

3 Matthias IT Pty Ltd, Brisbane, Australia

4 Division of Cardiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC, United States

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