Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions
Public ClinicalTrials.gov record NCT06823024. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
An Observational, Prospective Study to Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
This is a research study looking at whether the way people speak can help predict how well they'll respond to certain mental health treatments. The Main Goal: The researchers want to see if computer analysis of a person's speech patterns can predict whether they'll respond well to two specific treatments: TMS (Transcranial Magnetic Stimulation) and Spravato (a nasal spray medication). They're focusing on people with depression, bipolar disorder, OCD, anxiety, and PTSD. How It Works: 200 people with these conditions will participate in the study.Participants will record themselves speaking for about 12 minutes, responding to six different prompts.They'll do these recordings before treatment starts, daily during treatment, right after treatment ends, and again four weeks later. Doctors will track how well people are doing using various questionnaires and rating scales The researchers will look for connections between speech patterns and treatment success. The study will last 12 months. What Makes Someone a "Treatment Success": The study considers treatment successful if a person's symptoms improve significantly (specifically, a 2-point or greater reduction on a clinical rating scale (called Clinical Global Impression) and stays improved during the follow-up period (4-weeks). Why This Matters: If successful, this research could lead to a simple, non-invasive way to help doctors predict which treatments might work best for different patients. This could help people get the most effective treatment more quickly and help healthcare providers use their resources more efficiently. Safety Consideration The researchers will also check whether doing the speech assessments causes any distress to participants, making sure the evaluation process itself is safe and comfortable.
Study identification
- NCT ID
- NCT06823024
- Recruitment status
- Enrolling by invitation
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 200 participants
Conditions and interventions
Conditions
Interventions
Not listed
Eligibility (public fields only)
- Age range
- 18 Years to 68 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Feb 17, 2025
- Primary completion
- Dec 31, 2025
- Completion
- Feb 28, 2026
- Last update posted
- Mar 17, 2025
2025 – 2026
United States locations
- U.S. sites
- 2
- U.S. states
- 2
- U.S. cities
- 2
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Acacia Clinics | Sunnyvale | California | 94087 | — |
| Fermata Health | New York | New York | 11249 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT06823024, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Mar 17, 2025 · Synced Sep 5, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT06823024 live on ClinicalTrials.gov.