100
Participants
Start Date
January 1, 2026
Primary Completion Date
December 31, 2027
Study Completion Date
June 30, 2028
AI-enhanced smartphone app
"A smartphone app has been developed and is in keeping with guideline recommendations for the treatment of e-cigarette products. This app has a user-friendly Graphic User Interface (GUI) to allow users to build their own accounts and individualized contents conveniently, based on the input the users initially provide including e-cigarette use patterns, readiness to quit e-cigarette, beliefs about e-cigarette, nicotine addiction, self-efficacy, other substance use status, and parental or peer e-cigarette use status.~The proposed AI model in this app will learn information from the input data, including progress toward e-cigarette cessation (e,g, changes of readiness of quitting, quit attempts), and additional data including emotional status, stress level, feedback to the previous learning modules, and then predict the result on the fly. Based on the predicted result, the app will send in-time motivational messages and mindfulness training modules."
AI-enhanced smartphone app, but with delayed access
Participants in the control group will be placed on a three-month waitlist. After this period, they will receive access to the same app-based intervention as the immediate intervention group, allowing a comparison between immediate and delayed access.
University at Buffalo, School of Nursing, Buffalo
Collaborators (1)
National Cancer Institute (NCI)
NIH
Advanced Bionics
INDUSTRY
State University of New York at Buffalo
OTHER