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

Innovations in Clinical Trials and Research Data Management (104) Machine Learning (1741) Artificial Intelligence (1745)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57750, first published .
Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023

Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023

Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023

Authors of this article:

Shoko Maru1, 2 Author Orcid Image ;   Michael D Matthias3 Author Orcid Image ;   Ryohei Kuwatsuru1, 4 Author Orcid Image ;   Ross J Simpson Jr5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics Author Video

Journals

  1. Maru S, Kuwatsuru R, Matthias M, Simpson Jr R. 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 of Medical Internet Research 2025;27:e60148 View
  2. Simpson M, Qasim H. Clinical and Operational Applications of Artificial Intelligence and Machine Learning in Pharmacy: A Narrative Review of Real-World Applications. Pharmacy 2025;13(2):41 View
  3. Morais J. The fascinating world of clinical registries. Insights into current practice. Revista Portuguesa de Cardiologia 2025 View