AI analyzes your surroundings to predict smoking relapse

NCT ID NCT07089901

Recruiting now Knowledge-focused Sponsor: Duke University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 24, 2026 · Updated 4 times

Summary

This study recruits 600 adults who want to quit smoking. Participants use a smartphone app to take photos of their environment when they smoke and at random times. Researchers use artificial intelligence to analyze these images and identify environmental triggers that lead to relapse. All participants receive nicotine patches to support quitting. The goal is to develop digital tools that predict and prevent smoking relapse.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: nicotine patch
What this could lead to: If successful, this could lead to better tools for predicting and preventing smoking relapse by identifying environmental triggers.
What could go wrong: This is an observational study focused on data collection, not testing a new treatment. The findings may not directly improve quit rates.

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Conditions

The condition(s) this trial relates to.

nicotine dependence Smoking

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SMOKING

Contacts and locations

Locations

Duke University Medical Center
RECRUITING

Durham, North Carolina, 27706, United States

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