AI reads faces and voices to spot hidden mental health issues in ER

NCT ID NCT06473558

Not yet recruiting Diagnosis Sponsor: University Hospitals Cleveland Medical Center Source: ClinicalTrials.gov ↗

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

Summary

This study explores whether artificial intelligence can help emergency department doctors identify depression and anxiety in patients. Researchers will record 30 adult patients' facial expressions and voice tones as they read a story, and then use AI to analyze those recordings. The goal is to see if the AI can match standard screening questionnaires for depression and anxiety, potentially offering a new tool for early detection.

What this could mean

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

Active substance: AI software analyzing facial expressions and voice recordings
What this could lead to: If successful, this could lead to a quick, non-invasive way for emergency doctors to identify patients who may be struggling with depression or anxiety.
What could go wrong: This is a very small, early-stage study with only 30 participants. The AI may not be accurate enough, and results may not apply to all patients or settings.

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.

anxiety disorder Depression Emergencies

As listed by the trial registrant

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

ARTIFICIAL INTELLIGENCE (AI)

Contacts and locations

Locations

University Hospitals ED

Cleveland, Ohio, 44106, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.