AI tool to detect fatigue and depression in cardiology patients
Efficacy of a Novel Web-based Fatigue and Cognitive Assessment Platform in Detecting Fatigue and Depression
Indiana University · NCT07218263
This project tests whether the Okaya AI platform can detect fatigue and depression from a short conversational check-in for adults seen in cardiology clinics, compared with PHQ-9 and FAS questionnaires.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 100 (estimated) |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Sponsor | Indiana University (other) |
| Locations | 2 sites (Indianapolis, Indiana and 1 other locations) |
| Trial ID | NCT07218263 on ClinicalTrials.gov |
What this trial studies
This observational study compares a browser-based AI platform called Okaya to standard questionnaires for fatigue and depression in cardiology patients. During a single baseline visit, the platform records a short conversational check-in and uses computer vision and natural language processing to extract facial and vocal features such as eye contact, facial affect, pitch, volume, and speech patterns. Those features are processed through regression models to produce a composite AI score, which will be compared to PHQ-9 and Fatigue Assessment Scale scores. No interventions are provided and participants complete only the AI check-in and the standard questionnaires.
Who should consider this trial
Good fit: Adults aged 18 or older who speak English, can consent, and are receiving cardiology care are the intended participants.
Not a fit: People who are nonverbal, have significant cognitive disability, active substance use, active suicidal or homicidal ideation, or who do not speak English are unlikely to benefit from this platform or be eligible to participate.
Why it matters
Potential benefit: If successful, the platform could offer a quick, noninvasive way to flag fatigue and depression during cardiology visits so clinicians can follow up appropriately.
How similar studies have performed: Prior research using facial and vocal biomarkers to detect depression has shown promising but mixed results, so this approach is partly supported but not yet established in routine care.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥18, English-speaking, able to consent Exclusion Criteria: * Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation
Where this trial is running
Indianapolis, Indiana and 1 other locations
- Indiana University — Indianapolis, Indiana, United States (NOT_YET_RECRUITING)
- Methodist Hospital — Indianapolis, Indiana, United States (RECRUITING)
Study contacts
- Study coordinator: Brijesh Patel, DO
- Email: patebr@iu.edu
- Phone: 317-963-8637
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Depression Disorders, Fatigue Symptom, Cardiovascular, Fatigue, Depression, Artificial Intelligence