AI matchmaker for mental health: which digital therapy works best for you?
NCT ID NCT05567640
First seen Jul 31, 2026 · Last updated Jul 31, 2026
Summary
This trial tests whether machine learning can help choose the most effective digital mental health program for each person with anxiety or depression. About 1,800 adults will be randomly assigned to one of three online therapy programs, and the study will use the results to build a decision rule that predicts which program is likely to work best for a given individual. The goal is to make digital mental health care more personalized and effective when delivered at scale.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Digital mental health programs: the Unified Protocol, Space for depression, and Space for resilience
- What this could lead to
- If successful, this could lead to a data-driven system that automatically matches each person to the digital therapy most likely to ease their anxiety or depression, improving outcomes at scale.
- What could go wrong
- The trial is early and complex, and the algorithms may not work for everyone. Also, digital programs require user engagement, which can vary widely.
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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
-
Center for Anxiety and Related Disorders
RECRUITINGBoston, Massachusetts, 02115, United States
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