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

Development and Evaluation of Research Methods, Instruments and Tools (634) Mobile Health (mhealth) (3162) Formative Evaluation of Digital Health Interventions (2827) Substance Abuse (469) Opioid and Related Substance Misuse (172) Artificial Intelligence (1745)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45434, first published .
An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

Authors of this article:

A B M Rezbaul Islam1 Author Orcid Image ;   Khalid M Khan2 Author Orcid Image ;   Amanda Scarbrough2 Author Orcid Image ;   Mariah Jade Zimpfer2 Author Orcid Image ;   Navya Makkena1 Author Orcid Image ;   Adebola Omogunwa2 Author Orcid Image ;   Sheikh Iqbal Ahamed3 Author Orcid Image
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RT @jmirpub: JMIR Formative Res: An artificial intelligence (#AI)–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working P…

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