Your voice may reveal hidden throat disease

NCT ID NCT06161077

First seen Jul 13, 2026 · Last updated Jul 14, 2026 · Updated 1 time

Summary

This study explores whether regular voice recordings can help predict disease severity in people with laryngotracheal stenosis, a condition that narrows the airway. Researchers will use artificial intelligence to analyze voice changes and see if they can forecast when a dilation procedure is needed. The goal is to develop a remote monitoring tool that reduces unnecessary surgeries and improves patient quality of life.

What this could mean

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

Active substance
Voice Biomarker Screening Tool
What this could lead to
If successful, this could create a simple, non-invasive way to monitor disease progression and predict when dilation is needed, improving quality of life.
What could go wrong
This is an early-stage study with 100 participants. Voice changes may not reliably predict disease severity, and the tool may not work for all patients.

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.

idiopathic subglottic stenosis Idiopathic subglottic tracheal stenosis tracheal stenosis

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Johns Hopkins Outpatient Center

    Baltimore, Maryland, 21287, United States

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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