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

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  2. Zhang X, Tsang C, Ford D, Wang J. Student Pharmacists’ Perceptions of Artificial Intelligence and Machine Learning in Pharmacy Practice and Pharmacy Education. American Journal of Pharmaceutical Education 2024:101309 View