Clinical Trials Directory

Trials / Completed

CompletedNCT05601063

Ascertaining Diagnosis Classification With Elicited Speech

Status
Completed
Phase
—
Study type
Observational
Enrollment
255 (actual)
Sponsor
Northwell Health · Academic / Other
Sex
All
Age
14 Years – 50 Years
Healthy volunteers
Accepted

Summary

Cross-sectional observational study of the relationship between speech patterns and psychiatric symptoms and disorders.

Detailed description

Major psychiatric disorders often occur together in the same patient and it can be difficult to distinguish between disorders with overlapping symptoms. The majority of patients with mental illness receive treatment in settings where it is not feasible to conduct detailed diagnostic interviews or neuropsychiatric testing. A cost-effective and efficient tool is needed for accurate diagnosis. Looking at language is an efficient way of making sense of the brain because it is easily observed and reflects brain circuitry. Automated natural language processing (NLP) can help us do this objectively, efficiently, and with high sensitivity. The investigators aim to use linguistic features extracted using natural language processing to aid in diagnostic classification and in predicting dimensional symptoms. This will be done by obtaining clinical diagnoses, language samples, and self-report scales from 604 participants with a variety of psychiatric symptoms. Adolescents will also be included and the investigators will try to predict diagnosis in adolescents using models that were built on adult data.

Conditions

Interventions

TypeNameDescription
BEHAVIORALWinterlight Speech AssessmentDigital assessment of speech and language abilities

Timeline

Start date
2020-10-01
Primary completion
2022-09-01
Completion
2022-09-01
First posted
2022-11-01
Last updated
2022-11-01

Locations

1 site across 1 country: United States

Source: ClinicalTrials.gov record NCT05601063. Inclusion in this directory is not an endorsement.