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
Inclusion Criteria1
- Age ≥18, English-speaking, able to consent
Exclusion Criteria1
- Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation
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)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07218263
Related Trials
A Study of a Deuterated Psilocin Analog (CYB003) in Humans With Major Depressive Disorder
NCT0679339767 locations
Prevalence and Severity of Depression Among Cardiothoracic Surgery Healthcare Workers in Baghdad: A PHQ-9 Cross-Sectional Study
NCT067027611 location
VR-PMR for Post-Burn Symptoms
NCT073172711 location
Medical Phenotyping of NHS General Adult Psychiatry (GAP) Inpatients
NCT073983651 location
Evaluate the Effects of Long-term Use of Psychotropic Medications on Eye Movement Patterns With the Gaize Device
NCT073894731 location