AI could make mental health assessments more reliable

NCT ID NCT06923995

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an AI tool can accurately measure depression and anxiety symptoms from video interviews. Researchers will compare the AI's ratings to those of human clinicians. The goal is to create a more consistent way to evaluate symptoms in clinical trials, which could help bring new treatments to patients faster. The study involves 120 adults in the US who are starting treatment for depression or anxiety.

What this could mean

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

Active substance
AI-driven clinical interview
What this could lead to
If successful, this could lead to more consistent and objective mental health assessments, speeding up the development of new treatments for depression and anxiety.
What could go wrong
This is an early-stage study focused on measurement, not treatment. The AI may not match human accuracy across all groups, and results may not generalize beyond this specific tool.

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.

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Email: •••••@•••••

Locations

  • Baylor College of Medicine

    RECRUITING

    Houston, Texas, 77030, United States

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