AI reads rehab diaries to predict recovery
NCT ID NCT07595614
First seen May 22, 2026 · Last updated Jun 23, 2026 · Updated 4 times
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.
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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.
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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Locations
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Under The Tree Potrerillos
RECRUITINGPotrerillos, Jalisco, 45815, Mexico
Contact Phone: •••-•••-•••• Email: •••••@•••••
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.
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.