AI Platform for Fatigue and Depression Detection
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Participants will complete PHQ-9, FAS, and Okaya assessments..
- Who it may be relevant to
- Registry conditions: Depression Disorders, Fatigue Symptom, Cardiovascular. Basic parameters: 18 years — 99 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Efficacy of a Novel Web-based Fatigue and Cognitive Assessment Platform in Detecting Fatigue and Depression
Overview
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.
Detailed description
Patients frequently experience fatigue and depression, which are often underdiagnosed due to limitations in traditional screening tools. This study introduces the Okaya platform, a browser-based AI system that analyzes facial and vocal biomarkers collected during conversational check-ins. The platform uses computer vision and natural language processing to extract features such as eye contact, facial affect, pitch, volume, and speech patterns. These features are processed through regression models to generate a composite AI based score. The study aims to validate this score against PHQ-9 and FAS assessments. Participants will complete a single baseline check-in using the Okaya platform and complete standard questionnaires. No interventions will be provided.
Interventions
- Diagnostic test Participants will complete PHQ-9, FAS, and Okaya assessments.
AI-based conversational assessment using facial and vocal features to evaluate fatigue and depression.
Primary outcome measures
- Correlation between Okaya (AI based) score and PHQ-9 [Time frame: Baseline]
- Correlation between Okaya (AI) based score and PHQ-9 and FAS [Time frame: Baseline]
- Correlation between Okaya (AI based) score and FAS [Time frame: Baseline]
Secondary outcome measures (1)
- Usability and patient satisfaction [Time frame: Baseline]
Eligibility criteria
Inclusion criteria
- Age ≥18, English-speaking, able to consent
Exclusion criteria
- Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Study design
- Observational model
- Cohort
Study locations
United States · 2 centers
- Indiana University — Indianapolis
- Methodist Hospital — Indianapolis
Identifiers
NCT: NCT07218263 · IU-Okaya-2025 · IRB #25854