Mapping smoking environments with smartphone photos and AI to help people quit
Official title: Project DEDUCE: Digital Envirotyping to Develop Understanding of Cigarette Smoking and the Environment
Run by Duke University · NCT07089901 · Data updated 2026-11-12
This project will see if smartphone photos, sensors, and AI can identify places and situations that trigger smoking for daily smokers who plan to quit and are using nicotine patches.
Quick facts
| Phase | Phase 4 |
|---|---|
| Study type | Interventional |
| Ages | 21 Years and up |
| Sex | All |
| Enrollment | 600 (estimated) |
| Sponsor | Duke University Academic / other |
| Locations | 1 site (Durham, North Carolina) |
| Status | Recruiting |
| Started | May 6, 2026 |
| Main results expected | March 31, 2030 |
| Study ends | March 31, 2030 |
| Registry record updated | July 23, 2026 |
| Trial ID | NCT07089901 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 21 or older who smoke at least 10 cigarettes per day, have smoked daily for two or more years, plan to set a quit date within a month, and own an iPhone or Android phone that can run the study apps.
✕Probably not a fit
People who are pregnant or breastfeeding, already using cessation treatments or regular non-cigarette nicotine products, have unstable medical conditions, or lack a compatible smartphone are unlikely to benefit from this specific protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Adults who smoke daily and plan to quit will use study smartphone apps to take photos and collect sensor data around real-world moments of smoking and craving. Computer vision and other AI tools will analyze those images and data to identify environmental features linked to smoking behavior. Participants will also receive transdermal nicotine replacement therapy and follow a target quit date while researchers link environmental markers to craving and relapse risk. The goal is to create objective environmental signatures that could guide personalized relapse-prevention strategies.
Why it matters
Potential benefit: If successful, this could help identify high-risk places and triggers so clinicians and smokers can tailor reminders or support to reduce relapse and improve quit success alongside nicotine patches.
How similar studies have gone: Prior studies using sensors and ecological momentary assessment have shown promise linking environment to smoking, but full computer-vision-based digital envirotyping to guide cessation is novel with limited direct evidence.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. 21 years of age or older; 2. Smoke ≥ 10 cigarettes/day 3. Smoking daily for ≥ 2 years, with a stable smoking pattern for the past 6 months; 4. Intention to quit smoking and set a target quit date in the next 1 month; 5. Have an iPhone or Android smartphone capable of running the photoEMA and iCO software 6. Positive Urine Cotinine Test Exclusion Criteria: 1. Pregnant, breastfeeding, or planning to become pregnant during the course of the study; 2. Currently in smoking cessation treatment or current use of smoking cessation products; 3. Regular use (i.e. \>9 days/month) of non-cigarette nicotine-containing products (e.g. cigarillos, e-cigarettes); 4. Anticipating major life changes (e.g. new job, birth of a child) during the course of the study; 5. Unstable medical conditions; 6. Contraindication for nicotine replacement therapy.
Where it's running
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Duke University Medical Center
Durham, North Carolina, United States Recruiting
Study contacts
- Principal investigator: Francis J. McClernon, PhD — Duke University
- Study coordinator: Laura Van Althuis, MHA
- Email: deduce@duke.edu
- Phone: 919-668-4312
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.