Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models

Enrolling by invitationOBSERVATIONAL
Enrollment

500

Participants

Timeline

Start Date

February 4, 2025

Primary Completion Date

February 28, 2026

Study Completion Date

July 31, 2026

Conditions
Autism Spectrum DisorderDepression - Major Depressive DisorderAnxiety, GeneralizedBipolar Disorder (BD)Attention Deficit Hyperactivity Disorder (ADHD)Schizophrenia Spectrum &Amp; Other Psychotic DisordersPost Traumatic Stress DisorderObsessive Compulsive Disorder (OCD)
Interventions
DIAGNOSTIC_TEST

Solicue Machine Learning Models

"A comprehensive machine-learning tool aimed at providing probability estimates for several compatible disorders, including Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Bipolar Affective Disorder (BPAD), Generalized Anxiety Disorder (GAD), Major Depressive Disorder (MDD), Obsessive Compulsive Disorder (OCD), Post-Traumatic Stress Disorder (PTSD), and Schizophrenia Spectrum Disorders (SSD). By offering a multi-diagnostic assessment based on speech analysis, Solicue aims to assist clinicians in navigating this complexity and potentially identifying conditions that might otherwise be overlooked in initial assessments.~Solicue leverages machine learning to analyze a wide range of clinically relevant speech features, including linguistic content, prosodic elements (such as pitch, rhythm, and intonation), and other paralinguistic features."

DIAGNOSTIC_TEST

Mercuria Machine Learning Models

"Mercuria is designed to stratify the risk of bipolar disorder in individuals presenting with depressive symptoms. This is a critical clinical need, as misdiagnosis of bipolar disorder as unipolar depression is common and can lead to inappropriate treatment, potentially worsening outcomes. By analyzing speech patterns characteristic of bipolar disorder, Mercuria aims to provide an additional tool for clinicians to differentiate between these conditions more accurately, guiding appropriate treatment decisions.~Mercuria leverages machine learning to analyze a wide range of clinically relevant speech features, including linguistic content, prosodic elements (such as pitch, rhythm, and intonation), and other paralinguistic features."

Trial Locations (2)

43701

Allwell Behavioral Health Services, Zanesville

02445

The Brookline Center, Brookline

All Listed Sponsors
collaborator

Allwell Behavioral Health Services

UNKNOWN

collaborator

The Brookline Center

UNKNOWN

lead

Psyrin Inc.

INDUSTRY