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NIH funded proposals with peer-review reports (USA) (188) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2397) Alcohol Abuse, Alcoholism Prevention and Recovery (384) Formative Evaluation of Digital Health Interventions (5209)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81697, first published .
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Maximizing Engagement, Trust, and Clinical Benefit of AI-Generated Recovery Support Messages for Alcohol Use Disorder: Protocol for an Optimization Study

Maximizing Engagement, Trust, and Clinical Benefit of AI-Generated Recovery Support Messages for Alcohol Use Disorder: Protocol for an Optimization Study

Authors of this article:

Kendra Wyant1 Author Orcid Image ;   Sarah J Sant'Ana1 Author Orcid Image ;   Claire E Punturieri1 Author Orcid Image ;   Jiachen Yu1 Author Orcid Image ;   Gaylen E Fronk1, 2 Author Orcid Image ;   C Michael Maggard1, 3 Author Orcid Image ;   Christopher Janssen1 Author Orcid Image ;   Susan E Wanta1 Author Orcid Image ;   Rachel Kornfield4 Author Orcid Image ;   Lyn M van Swol5 Author Orcid Image ;   John J Curtin1 Author Orcid Image
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Journals

  1. Wyant K, Fronk G, Yu J, Punturieri C, Curtin J, Tovmasyan A. Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models. PLOS One 2026;21(9):e0356893 View