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Cardiovascular / Depression Disorders / Fatigue Symptom · Interventional Study
ClinicalTrials.gov · August 19, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a completed but unreported diagnostic study of an AI platform (Okaya) designed to detect fatigue and depression in cardiology patients. The study enrolled 100 participants and planned to measure correlation between AI scores and two validated symptom scales (PHQ-9 and FAS), but no results have been posted to the registry. The evidence cannot yet be evaluated.
Interventional, Single Group, Open label, Diagnostic purpose. Depression Disorders, Fatigue Symptom, Cardiovascular; age from 18 Years. Intervention: Assessment Group. n = 100. 2 sites: United States.
This is a completed but unreported diagnostic study of an AI platform (Okaya) designed to detect fatigue and depression in cardiology patients. The study enrolled 100 participants and planned to measure correlation between AI scores and two validated symptom scales (PHQ-9 and FAS), but no results have been posted to the registry. The evidence cannot yet be evaluated.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This study cannot inform clinical practice at present because results have not been reported. Once published, correlation coefficients between the AI platform and validated scales will indicate whether the Okaya platform can reliably screen for depression and fatigue in cardiology settings.
This is a completed diagnostic study of an AI platform against validated scales in a small sample, with no posted results; the evidence cannot yet be assessed.
As stated by the source record.
Quoted from the source exactly as published.
This study cannot inform clinical practice at present because results have not been reported. Once published, correlation coefficients between the AI platform and validated scales will indicate whether the Okaya platform can reliably screen for depression and fatigue in cardiology settings.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no key findings. That is a gap in the analysis, not a judgement about the study.
Registry record from ClinicalTrials.gov (NCT07218263). This is a study registration, not published results. Lead sponsor: Brijesh Patel. Recruitment status: COMPLETED. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 100 participants (ACTUAL). Conditions: Depression Disorders, Fatigue Symptom, Cardiovascular. Interventions: DIAGNOSTIC_TEST: AI-enabled Okaya platform. Primary outcome measures: Correlation between Okaya (AI based) score and PHQ-9 , Baseline; Correlation between Okaya (AI) based score and PHQ-9 and FAS , Baseline; Correlation between Okaya (AI based) score and FAS , Baseline. Brief 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.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.