AI analyzes your surroundings to predict smoking relapse

NCT ID NCT07089901

First seen Jun 27, 2026 · Last updated Jun 27, 2026

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Duke University Medical Center

    RECRUITING

    Durham, North Carolina, 27706, United States

    Contact Phone: •••-•••-••••