Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Sponsor: University Hospitals Cleveland Medical Center
Trial Details
| Condition | Artificial Intelligence (AI) |
| Intervention | Biometrics (or AI Biomaker) |
| Phase | NA |
| Status | Not_yet_recruiting |
| Participants | 30 |
| Est. Completion | 28 Feb 2027 |
| Last Updated | 27 Apr 2026 |
Primary Outcome
Percentage of participants who score 5-9 on the PHQ-9; Percentage of participants who score 10-14 on the PHQ-9; Percentage of participants who score 15-19 on the PHQ-9; Percentage of participants who score 20-27 on the PHQ-9; Percentage of participants who score 5-9 on the GAD-7; Percentage of participants who score 10-14 on the GAD-7; Percentage of participants who score above 15 on the GAD-7; Number of participants that AI screened positive for mild depression symptoms.; Number of participants that AI screened positive for moderate depression symptoms.; Number of participants that AI screened positive for moderately severe depression symptoms.; Number of participants that AI screened positive for severe depression screening; Number of participants that AI screened positive for mild anxiety symptoms.; Number of participants that AI screened positive for moderate anxiety symptoms.; Number of participants that AI screened positive for severe anxiety symptoms.
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Adult patients (age 18 and over) who presents to the UHCMC ED voluntarily with no obvious psychological disturbance by self-report or nurse/provider initial assessment * English-speaking * Patients with non-emergent concerns of Emergency Severity Index (ESI) level 3, 4, or 5 Exclusion Criteria: * Prisoners * Patients who are deemed to be critically ill (including life or limb threatening illness) or unable to consent * Non-English Speaking
Trial Sites
Countries
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