Machine learning may crack the code of OCD therapy

NCT ID NCT06173752

Recruiting now Knowledge-focused Sponsor: Mclean Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is observing 400 adults with OCD who are receiving exposure therapy. Researchers will use machine learning to analyze self-reports, behavior, and physiological data from therapy sessions. The goal is to identify which mechanisms lead to better outcomes, so therapy can be improved for those who don't fully recover.

What this could mean

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

Active substance: exposure therapy
What this could lead to: If successful, this could help personalize exposure therapy for OCD, making it more effective for more people.
What could go wrong: This is an observational study, not a treatment trial. It may not lead to immediate changes in care, and results depend on complex data analysis.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

obsessive-compulsive disorder

As listed by the trial registrant

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

OBSESSIVE-COMPULSIVE DISORDER

Contacts and locations

Locations

Center for Understanding and Treating Anxiety
RECRUITING

San Diego, California, 92120, United States
McLean OCDI
RECRUITING

Belmont, Massachusetts, 02478, United States

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