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

Artificial Intelligence (2129) Opioid and Related Substance Misuse (200) Machine Learning (2076) Text-messaging (SMS, WeChat etc)-Based Interventions (751)

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
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

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  2. Mazzolenis M, Bulat E, Schatman M, Gumb C, Gilligan C, Yong R. The Ethical Stewardship of Artificial Intelligence in Chronic Pain and Headache: A Narrative Review. Current Pain and Headache Reports 2024;28(8):785 View
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  4. Versluis A, Penfornis K, van der Burg S, Scheltinga B, van Vliet M, Albers N, Meijer E. Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity. JMIR Cardio 2024;8:e47730 View
  5. Gabriel R, Park B, Hsu C, Macias A. A Review of Leveraging Artificial Intelligence to Predict Persistent Postoperative Opioid Use and Opioid Use Disorder and its Ethical Considerations. Current Pain and Headache Reports 2025;29(1) View
  6. Blaga O, Dascal M, Onișor A, Frățilă T, Morar A, Mihu D, Iuhas C, Caracostea G, Mureșan D, Foley K, Resnicow K, Meghea C. Smartphone intervention for pregnancy smoking cessation with peer support: the study protocol of the SmokeFree Together 2.0 (SFT 2.0) randomised controlled trial. BMJ Open 2025;15(3):e100259 View
  7. Albers N, Melo F, Neerincx M, Kudina O, Brinkman W. Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention. npj Digital Medicine 2025;8(1) View
  8. Frommeyer T, Gilbert M, Fursmidt R, Park Y, Khouzam J, Brittain G, Frommeyer D, Bett E, Bihl T. Reinforcement Learning and Its Clinical Applications Within Healthcare: A Systematic Review of Precision Medicine and Dynamic Treatment Regimes. Healthcare 2025;13(14):1752 View