RecruitingNCT07218263

AI Platform for Fatigue and Depression Detection

Efficacy of a Novel Web-based Fatigue and Cognitive Assessment Platform in Detecting Fatigue and Depression


Sponsor

Brijesh Patel

Enrollment

100 participants

Start Date

Dec 1, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

This observational study evaluates the accuracy of the Okaya AI platform in detecting fatigue and depression in cardiology patients, comparing its assessments to PHQ-9 and Fatigue Assessment Scale scores.


Eligibility

Min Age: 18 YearsMax Age: 99 Years

Plain Language Summary

Simplified for easier understanding

This study is testing an artificial intelligence (AI) platform that uses the way a person speaks and communicates to detect signs of fatigue and depression. The goal is to evaluate whether the AI can reliably identify these conditions, which could one day help clinicians screen for mental health problems more quickly and conveniently in a variety of settings — such as hospitals or outpatient clinics. **You may be eligible if...** - You are 18 or older - You speak English - You are able to give your own informed consent to participate **You may NOT be eligible if...** - You have an active substance use problem - You are nonverbal or unable to speak - You have a cognitive disability that would prevent meaningful participation - You have active thoughts of harming yourself or others (active suicidal or homicidal ideation) Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTParticipants will complete PHQ-9, FAS, and Okaya assessments.

AI-based conversational assessment using facial and vocal features to evaluate fatigue and depression.


Locations(2)

Indiana University

Indianapolis, Indiana, United States

Methodist Hospital

Indianapolis, Indiana, United States

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NCT07218263


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