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

Research Letter (248) Scientometrics, Infometrics, and Altmetrics (489) Machine Learning (3235) Artificial Intelligence (4853) AI Governance and Policy (69)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84861, first published .
Laptop screen displays AI and NIH logos, with a stethoscope on a desk.

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 (2) Tweetations (1) Metrics

Journals

  1. Saban M, Zavala M, Rubinstein A, Esteban S, Cejas C. Artificial intelligence for sexual, reproductive and maternal health in Latin America and the Caribbean: a scoping review. Journal of Obstetrics and Gynaecology 2026;46(1) View

Conference Proceedings

  1. Nananukul N, Kejriwal M. 2026 IEEE International Conference on Digital Health (ICDH). An Analysis of Artificial Intelligence Adoption in NIH-Funded Research View