AI-Enhanced App-based Intervention for Adolescent E-cigarette Cessation

NANot yet recruitingINTERVENTIONAL
Enrollment

100

Participants

Timeline

Start Date

January 1, 2026

Primary Completion Date

December 31, 2027

Study Completion Date

June 30, 2028

Conditions
Nicotine Dependence, Cigarettes
Interventions
BEHAVIORAL

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."

BEHAVIORAL

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.

Trial Locations (1)

14214

University at Buffalo, School of Nursing, Buffalo

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

National Cancer Institute (NCI)

NIH

collaborator

Advanced Bionics

INDUSTRY

lead

State University of New York at Buffalo

OTHER

NCT06965296 - AI-Enhanced App-based Intervention for Adolescent E-cigarette Cessation | Biotech Hunter | Biotech Hunter