AI Platform for Fatigue and Depression Detection
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-99
SponsorBrijesh Patel
About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
Age ≥18, English-speaking, able to consent
Disqualifiers
Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation
Trial population
The participants will be selected from both inpatient and outpatient setting.
Trial design
Design model
Cohort
Time perspective
Cross-sectional
Treatments tested in this trial
Participants will complete PHQ-9, FAS, and Okaya assessments.
Diagnostic testAI-based conversational assessment using facial and vocal features to evaluate fatigue and depression.
Treatment groups
100 Participants
are divided into 1 treatment groupGroup A: Single Group Assignment1 intervention
Trial outcomes
Primary outcomes
1
Correlation between Okaya (AI based) score and PHQ-9
Regression analysis comparing Okaya scores to PHQ-9
Time frame
Baseline2
Correlation between Okaya (AI) based score and PHQ-9 and FAS
Regression analysis comparing Okaya scores to standard assessments
Time frame
Baseline3
Correlation between Okaya (AI based) score and FAS
Regression analysis comparing Okaya scores to FAS
Time frame
BaselineSecondary outcomes
1
Usability and patient satisfaction
Ease-of-use ratings on the Okaya platform
Time frame
BaselineSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov