Testing AI speech analysis to help detect mental health conditions
Tests whether AI analysis of speech can help assess several mental health conditions.
Plain-language title generated from the registry record
Registry title: Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models
Key facts
- Where
- Brookline and Zanesville, United StatesSee the 2 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 13 and 60 years old?
Source: NCT06792175, who can take part
Where in United States
- The Brookline CenterBrookline, United StatesNo longer taking part
- Allwell Behavioral Health ServicesZanesville, United StatesNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Psyrin Inc.
- Trial code
- NCT06792175
- Record updated
- 3 September 2025
- Original description
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, bipolar disorder, generalized anxiety disorder, major depressive disorder, obsessive compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and schizophrenia. We aim to develop tools that can support clinicians in making more accurate and efficient diagnoses.Read full original descriptionShow less
Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models: Testing Speech-Based Machine Learning Algorithms for Clinical Assessment and Risk Stratification in Mental Health Presentations
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, bipolar disorder, generalized anxiety disorder, major depressive disorder, obsessive compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and schizophrenia. We aim to develop tools that can support clinicians in making more accurate and efficient diagnoses.
Inclusion: Participants aged between 16 and 60 years; Individuals currently undergoing or referred for clinical assessment of mental or behavioral health conditions (including but not limited to ADHD, ASD, BPAD, GAD, MDD, OCD, PTSD, SSD); Fluent in English; Capable of providing informed consent, or in the case of minors, having a parent or legal guardian who can provide consent on their behalf; Access to a device (smartphone, tablet, or computer) with a microphone and stable internet connectivity, necessary for completing the speech tasks.
Exclusion: Severe cognitive impairment or intellectual disability that would prevent understanding of the study procedures or completion of the speech tasks; Individuals experiencing acute mental health crises or severe symptoms that would preclude meaningful participation in the study, including acute intoxication; Lack of fluency in English; Technical limitations: Inability to access a suitable device or internet connection for completing the speech tasks.