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

Foundations of AI (47) Artificial Intelligence (1371) AI Data (13) Research Methodology - AI (14)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45000, first published .
Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Authors of this article:

Alfred Sorbello1 Author Orcid Image ;   Syed Arefinul Haque1 Author Orcid Image ;   Rashedul Hasan1 Author Orcid Image ;   Richard Jermyn2 Author Orcid Image ;   Ahmad Hussein2 Author Orcid Image ;   Alex Vega2 Author Orcid Image ;   Krzysztof Zembrzuski2 Author Orcid Image ;   Anna Ripple3 Author Orcid Image ;   Mitra Ahadpour1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Alfred Sorbello   1 * , DO, MPH ;   Syed Arefinul Haque   1 * , PhD ;   Rashedul Hasan   1 * , PhD ;   Richard Jermyn   2 * , DO ;   Ahmad Hussein   2 * , MBS ;   Alex Vega   2 * , BS ;   Krzysztof Zembrzuski   2 * , BA ;   Anna Ripple   3 * , MLS ;   Mitra Ahadpour   1 * , MD

1 Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States

2 Neuromuscular Institute, Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, United States

3 Lister Hill National Center for Biomedical Communications, National Library of Medicine–National Institutes of Health, Rockville, MD, United States

*all authors contributed equally

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