Published on in Vol 25 (2023)
![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](https://asset.jmir.pub/assets/5472e47d5626fbf1d574191821c191f6.png 480w,https://asset.jmir.pub/assets/5472e47d5626fbf1d574191821c191f6.png 960w,https://asset.jmir.pub/assets/5472e47d5626fbf1d574191821c191f6.png 1920w,https://asset.jmir.pub/assets/5472e47d5626fbf1d574191821c191f6.png 2500w)
1 Ann Arbor Department of Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States
2 Department of Health Behavior Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States
3 Department of Anesthesiology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
4 Department of Emergency Medicine, Trinity Health St. Joseph Mercy, Ann Arbor, MI, United States
5 Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States