Aiberry AI Mental Health Screening Platform

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-09-22

Study Completion Date

2023-04-06

Brief Summary

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Aiberry is creating a multi-modal artificial intelligence (AI) platform that analyzes facial, audio and text features to screen for mental illness. This multicenter study will be used to collect data to validate the platform's ability to detect depression and anxiety in a diverse patient population.

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Detailed Description

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Aiberry is developing a proprietary AI platform that leverages machine learning to screen for mental illness using a multi-modal approach that fuses rich visual, audio, text, gestures, and eye gaze information. Our objective in this study is to validate algorithms that predict how individuals will respond to self-report questionnaires used to screen for major depressive disorder (MDD) and general anxiety disorder (GAD). Prior to enrollment, participants will participate in a baseline screening questionnaire to collect demographic information, health history, and current depression severity. If participants meet eligibility requirements and demographic recruitment targets, they will be invited to a single virtual study visit in which they will complete a 10-15 minute recorded interview with a study staff member along with three brief self-report questionnaires: 1) the Quick Inventory of Depression Symptoms Self Report (QIDS-SR-16), 2) the General Anxiety Disorder (GAD-7), and 3) the mini-version of the Mood and Anxiety Questionnaire (mini-MASQ), which will be used as a validity check that participant responses are consistent between this and the previous two questionnaires. We will evaluate how well the AI technology is able to predict self-reported symptoms of depression and anxiety by analyzing facial, audio, and text features from interview videos.

Conditions

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Depression Anxiety Healthy

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* Age 13 to 79 years old
* English-speaking

Exclusion Criteria

* Previous participant in the study, within the last three months
* Individuals unable to verbally respond to standardized questions
* Individuals unable to participate in a virtual visit as they do not have the right hardware (phone/laptop) or no internet connectivity
* Individuals unable to provide consent

Minimum Eligible Age

13 Years

Maximum Eligible Age

79 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes