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

Research Letter (59) Artificial Intelligence (2185) Scientometrics, Infometrics, and Altmetrics (124) AI Governance and Policy (20) Machine Learning (2121)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84861, first published .
National Institutes of Health–Funded Artificial Intelligence and Machine Learning Research, 2019‐2023: Cross-Sectional Study

National Institutes of Health–Funded Artificial Intelligence and Machine Learning Research, 2019‐2023: Cross-Sectional Study

National Institutes of Health–Funded Artificial Intelligence and Machine Learning Research, 2019‐2023: Cross-Sectional Study

Authors of this article:

Joshua Pei Le1 Author Orcid Image ;   Joseph Morrison2 Author Orcid Image ;   Atul Malhotra3 Author Orcid Image ;   Shamim Nemati3, 4 Author Orcid Image ;   Gabriel Wardi3, 4 Author Orcid Image ;   James S Ford4 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Joshua Pei Le   1 * , MD ;   Joseph Morrison   2 * , BS ;   Atul Malhotra   3 , MD ;   Shamim Nemati   3, 4 , PhD ;   Gabriel Wardi   3, 4 , MD, MPH ;   James S Ford   4 * , MAS, MD

1 School of Medicine, University of Limerick, Limerick, Ireland

2 School of Medicine, University of California Davis, Sacramento, CA, United States

3 Department of Medicine, University of California San Diego, La Jolla, CA, United States

4 Department of Emergency Medicine, University of California San Diego, La Jolla, CA, United States

*these authors contributed equally

Corresponding Author:

  • James S Ford, MAS, MD
  • Department of Emergency Medicine
  • University of California San Diego
  • 9500 Gilman Drive
  • La Jolla, CA 92093
  • United States
  • Phone: 1-404-518-8923
  • Email: jaf020@health.ucsd.edu