AI reads rehab diaries to predict recovery
NCT ID NCT07595614
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study follows 35 men in residential rehab for severe substance use. They write weekly stories about their feelings and challenges, and fill out questionnaires every two weeks. Researchers use natural language processing to analyze the stories and look for patterns that might signal improvement or risk of relapse. The goal is to see if this approach can help therapists better understand and support patients during treatment.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a tool that helps therapists spot early signs of relapse or improvement in people undergoing rehab for substance use.
- What could go wrong
- This is a small, early observational study with only 35 male participants in one center, so results may not apply to others. The approach is experimental and not yet proven to work in real-time.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Under The Tree Potrerillos
RECRUITINGPotrerillos, Jalisco, 45815, Mexico
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