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
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Study contacts
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Contact
Email: •••••@•••••
Locations
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Baylor College of Medicine
RECRUITINGHouston, Texas, 77030, United States
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