AI Platform for Fatigue and Depression Detection

Recruiting now

Conditions studied: Depression Disorders, Fatigue Symptom, Cardiovascular

In brief

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.

Key facts

Study ID

NCT07218263

Run by

Brijesh Patel

People needed

100

Starts

2025-12-01

Expected to finish

2026-05-01

Last updated by the study team

2026-02-25

Who can join

Age: 18 and older, up to 99. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age ≥18, English-speaking, able to consent

You may not qualify if…

• Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation

Where it is running

• Methodist Hospital — Indianapolis, Indiana, United States (enrolling)
• Indiana University — Indianapolis, Indiana, United States

Full record on ClinicalTrials.gov

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