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Completed NCT07218263

AI Platform for Fatigue and Depression Detection

Conditions: Depression Disorders, Fatigue Symptom, Cardiovascular

Sex: All

Ages: 18 Years – N/A

Healthy volunteers: No

Phase: NA

Enrollment: 100

Sponsor: Brijesh Patel

Location: Indiana University Health - Methodist Hospital Indianapolis Indiana

Summary

This 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

Patients referred to the cardiology clinic with acute or chronic issues, or hospitalized for acute cardiology issues will be enrolled. Inclusion Criteria: * Age ≥18, English-speaking, able to consent Exclusion Criteria: * Active substance use, nonverbal, cognitive disability, active suicidal/homicidal ideation * English is not primary language or requires a translator

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07218263). StuddyBuddy aggregates publicly available trial information.