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AI Platform for Fatigue and Depression Detection

NCT07218263 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-02-25

No results posted yet for this study

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.

Conditions

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.

Sponsors & Collaborators

  • SmartTec Inc

    collaborator INDUSTRY

  • Brijesh Patel

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-01
Primary Completion
2026-05-31
Completion
2026-05-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07218263 on ClinicalTrials.gov