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

Artificial Intelligence (59) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (110) Clinical Information and Decision Making (1112) Artificial Intelligence (912) Substance Abuse (319) Clinical Informatics (701) Decision Support for Health Professionals (922) Electronic Health Records (867) Pharmacovigilance (103)

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 Sorbello 1 Author Orcid Image ;   Syed Arefinul Haque 1 Author Orcid Image ;   Rashedul Hasan 1 Author Orcid Image ;   Richard Jermyn 2 Author Orcid Image ;   Ahmad Hussein 2 Author Orcid Image ;   Alex Vega 2 Author Orcid Image ;   Krzysztof Zembrzuski 2 Author Orcid Image ;   Anna Ripple 3 Author Orcid Image ;   Mitra Ahadpour 1 Author Orcid Image
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