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

Artificial Intelligence (1380) Opioid and Related Substance Misuse (147) Machine Learning (1473) Text-messaging (SMS, WeChat etc)-Based Interventions (651)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44165, first published .
An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

Authors of this article:

John D Piette1, 2 Author Orcid Image ;   Laura Thomas1, 3 Author Orcid Image ;   Sean Newman1, 2 Author Orcid Image ;   Nicolle Marinec1, 2 Author Orcid Image ;   Joel Krauss4 Author Orcid Image ;   Jenny Chen1, 2 Author Orcid Image ;   Zhenke Wu5 Author Orcid Image ;   Amy S B Bohnert1, 3 Author Orcid Image
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